def not_test_stance_shoulder_02(self):
motion = VmdReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Motion/_VMDサイジング/鳳仙花/鳳仙花mkmk髭切007bミュ第一_0-2000.vmd"
).read_data()
model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/刀剣乱舞/107_髭切/髭切【刀ミュ】mkmk008d 刀剣乱舞/髭切【刀ミュ】mkmk008d/髭切【刀ミュ3】mkmk008d_鳳仙花.pmx"
).read_data()
# 傾きパターン
test_slope_param = ["arm_name", "shoulder_name", "首根元"]
all_slope_test_params = list(
itertools.product(test_slope_param, repeat=2))
slope_test_params = [(x00, x01) for (x00, x01) in all_slope_test_params
if x00 != x01]
print(len(slope_test_params))
# 数値パターン
test_number_param = [0, -1, 1]
all_number_test_params = list(
itertools.product(test_number_param, repeat=3))
number_test_params = [(x00, x01, x02)
for (x00, x01, x02) in all_number_test_params
if x00 == 0 or x01 == 0 or x02 == 0]
print(len(number_test_params))
target_test_params = list(
itertools.product(slope_test_params, number_test_params))
print(len(target_test_params))
random.shuffle(target_test_params)
for params in target_test_params:
print(params)
copy_motion = motion.copy()
dataset = MOptionsDataSet(copy_motion, model, model, "", False,
False)
dataset.test_params = params
options = MOptions("", "", [dataset])
service = StanceService(options)
service.adjust_shoulder_stance(0, dataset)
print("stance: %s" %
dataset.motion.bones["右肩"][1625].rotation.toEulerAngles())
print("original: %s" %
motion.bones["右肩"][1625].rotation.toEulerAngles())
self.assertTrue(True)
def test_stance_shoulder_09(self):
# motion = VmdReader("E:/MMD/MikuMikuDance_v926x64/Work/202001_sizing/肩/折岸みつ肩2.vmd").read_data()
# org_model = PmxReader("D:/MMD/MikuMikuDance_v926x64/UserFile/Model/オリジナル/折岸みつ つみだんご/折岸みつ.pmx").read_data()
# rep_model = PmxReader("D:/MMD/MikuMikuDance_v926x64/UserFile/Model/刀剣乱舞/055_鶯丸/鶯丸 さばそ式ver1.75配布用/さばそ式鶯丸(通常・刀無)ver1.75.pmx").read_data()
motion = VmdReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Motion/運動/バレエっぽいターン グレイ/バレエっぽいターン.vmd"
).read_data()
org_model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/VOCALOID/初音ミク/あぴミク01_Ver.1.04 アレン・ベルル/Appearance Miku_01_Ver.1.04_準標準.pmx"
).read_data()
rep_model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/VOCALOID/初音ミク/底辺508式初音ミク_素足モデル せんと(鈍棒P)/miku_v3(素足_袖なし).pmx"
).read_data()
# 数値パターン
test_number_param = [0, -1, 1]
all_number_test_params = list(
itertools.product(test_number_param, repeat=3))
number_test_params = [(x00, x01, x02)
for (x00, x01, x02) in all_number_test_params
if x00 == 0 or x01 == 0 or x02 == 0]
print(len(number_test_params))
for params in number_test_params:
print(params)
copy_motion = motion.copy()
dataset = MOptionsDataSet(copy_motion, org_model, rep_model, "",
True, False, [])
dataset.test_params = params
options = MOptions("", "", [dataset], None, None, False, None)
service = StanceService(options)
service.adjust_shoulder_stance(0, dataset)
print("right stance: %s" %
dataset.motion.bones["右肩"][0].rotation.toEulerAngles())
print("right original: %s" %
motion.bones["右肩"][0].rotation.toEulerAngles())
print("left stance: %s" %
dataset.motion.bones["左肩"][0].rotation.toEulerAngles())
print("left original: %s" %
motion.bones["左肩"][0].rotation.toEulerAngles())
pass
self.assertTrue(True)
def test_replace_morph_03(self):
motion = VmdMotion()
motion.morphs = {"A": {}}
for fno, ratio in [(0, 10), (1, 20), (3, 30), (7, 0), (10, 3)]:
motion.morphs["A"][fno] = VmdMorphFrame(fno)
motion.morphs["A"][fno].ratio = ratio
morph_list = [("A", "B", 0.5), ("A", "C", 2)]
data_set = MOptionsDataSet(motion, None, None, None, False, False,
morph_list, None, None)
service = MorphService(None)
service.replace_morph(0, data_set)
self.assertEqual(["B", "C"], sorted(list(motion.morphs.keys())))
self.assertTrue("B" in motion.morphs)
self.assertEqual([0, 1, 3, 7, 10],
sorted(list(motion.morphs["B"].keys())))
self.assertEqual(5, motion.morphs["B"][0].ratio)
self.assertEqual(10, motion.morphs["B"][1].ratio)
self.assertEqual(15, motion.morphs["B"][3].ratio)
self.assertEqual(0, motion.morphs["B"][7].ratio)
self.assertEqual(1.5, motion.morphs["B"][10].ratio)
self.assertTrue("C" in motion.morphs)
self.assertEqual([0, 1, 3, 7, 10],
sorted(list(motion.morphs["C"].keys())))
self.assertEqual(20, motion.morphs["C"][0].ratio)
self.assertEqual(40, motion.morphs["C"][1].ratio)
self.assertEqual(60, motion.morphs["C"][3].ratio)
self.assertEqual(0, motion.morphs["C"][7].ratio)
self.assertEqual(6, motion.morphs["C"][10].ratio)
def test_split_bf_by_fno(self):
motion = VmdReader(u"test/data/補間曲線テスト01.vmd").read_data()
model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/ダミーボーン頂点追加2.pmx"
).read_data()
target_bone_name = "ﾎﾞｰﾝ01"
prev_bf = motion.bones[target_bone_name][0]
next_bf = motion.bones[target_bone_name][15]
motion.split_bf_by_fno(target_bone_name, prev_bf, next_bf, 8)
for fno in motion.get_bone_fnos(target_bone_name):
bf = motion.bones[target_bone_name][fno]
print("fno: %s ------------" % bf.fno)
print("position: %s" % bf.position)
print("rotation: %s" % bf.rotation.toEulerAngles4MMD())
print("int move x: %s, %s, %s, %s" % (bf.interpolation[MBezierUtils.MX_x1_idxs[3]], bf.interpolation[MBezierUtils.MX_y1_idxs[3]], \
bf.interpolation[MBezierUtils.MX_x2_idxs[3]], bf.interpolation[MBezierUtils.MX_y2_idxs[3]]))
print("int move y: %s, %s, %s, %s" % (bf.interpolation[MBezierUtils.MY_x1_idxs[3]], bf.interpolation[MBezierUtils.MY_y1_idxs[3]], \
bf.interpolation[MBezierUtils.MY_x2_idxs[3]], bf.interpolation[MBezierUtils.MY_y2_idxs[3]]))
print("int move z: %s, %s, %s, %s" % (bf.interpolation[MBezierUtils.MZ_x1_idxs[3]], bf.interpolation[MBezierUtils.MZ_y1_idxs[3]], \
bf.interpolation[MBezierUtils.MZ_x2_idxs[3]], bf.interpolation[MBezierUtils.MZ_y2_idxs[3]]))
print("int rot: %s, %s, %s, %s" % (bf.interpolation[MBezierUtils.R_x1_idxs[3]], bf.interpolation[MBezierUtils.R_y1_idxs[3]], \
bf.interpolation[MBezierUtils.R_x2_idxs[3]], bf.interpolation[MBezierUtils.R_y2_idxs[3]]))
data_set = MOptionsDataSet(
motion, model, model,
"E:/WebDownload/test_split_bf_by_fno_{0:%Y%m%d_%H%M%S}.vmd".format(
datetime.now()), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
def execute(self):
logging.basicConfig(level=self.options.logging_level, format="%(message)s [%(module_name)s]")
try:
service_data_txt = "腕ＩＫ変換処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name) \
service_data_txt = "{service_data_txt} VMD: {vmd}\n".format(service_data_txt=service_data_txt,
vmd=os.path.basename(self.options.motion.path)) # noqa
service_data_txt = "{service_data_txt} モデル: {model}({model_name})\n".format(service_data_txt=service_data_txt,
model=os.path.basename(self.options.motion.path), model_name=self.options.model.name) # noqa
service_data_txt = "{service_data_txt} 不要キー削除: {center_rotation}\n".format(service_data_txt=service_data_txt,
center_rotation=self.options.remove_unnecessary_flg) # noqa
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
# 処理に成功しているか
result = self.convert_ik2fk()
# 最後に出力
VmdWriter(MOptionsDataSet(self.options.motion, None, self.options.model, self.options.output_path, False, False, [], None, 0, [])).write()
logger.info("出力終了: %s", os.path.basename(self.options.output_path), decoration=MLogger.DECORATION_BOX, title="成功")
return result
except SizingException as se:
logger.error("腕ＩＫ変換処理が処理できないデータで終了しました。\n\n%s", se.message, decoration=MLogger.DECORATION_BOX)
except Exception:
logger.critical("腕ＩＫ変換処理が意図せぬエラーで終了しました。\n\n%s", traceback.format_exc(), decoration=MLogger.DECORATION_BOX)
finally:
logging.shutdown()
def not_test_adjust_upper_stance01(self):
motion = VmdReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Motion/運動/バレエっぽいターン グレイ/バレエっぽいターン.vmd"
).read_data()
org_model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/VOCALOID/初音ミク/あぴミク01_Ver.1.04 アレン・ベルル/Appearance Miku_01_Ver.1.04_準標準.pmx"
).read_data()
rep_model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/VOCALOID/初音ミク/底辺508式初音ミク_素足モデル せんと(鈍棒P)/miku_v3(素足_袖なし).pmx"
).read_data()
# 数値パターン
test_number_param = [0, -1, 1]
all_number_test_params = list(
itertools.product(test_number_param, repeat=3))
number_test_params = [(x00, x01, x02)
for (x00, x01, x02) in all_number_test_params
if x00 == 0 or x01 == 0 or x02 == 0]
print(len(number_test_params))
for params in number_test_params:
print(params)
copy_motion = motion.copy()
dataset = MOptionsDataSet(copy_motion, org_model, rep_model, "",
True, False, [])
dataset.test_params = params
options = MOptions("", "", [dataset], None, None, False, None)
service = StanceService(options)
service.adjust_upper_stance(0, dataset)
print("stance: %s" %
dataset.motion.bones["上半身"][44].rotation.toEulerAngles())
print("original: %s" %
motion.bones["上半身"][44].rotation.toEulerAngles())
print("original: %s" %
motion.bones["上半身"][0].rotation.toEulerAngles())
self.assertTrue(True)
def execute(self):
logging.basicConfig(level=self.options.logging_level,
format="%(message)s [%(module_name)s]")
try:
service_data_txt = "スムージング処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name) \
service_data_txt = "{service_data_txt} VMD: {vmd}\n".format(
service_data_txt=service_data_txt,
vmd=os.path.basename(self.options.motion.path)) # noqa
service_data_txt = "{service_data_txt} モデル: {model}({model_name})\n".format(
service_data_txt=service_data_txt,
model=os.path.basename(self.options.motion.path),
model_name=self.options.model.name) # noqa
service_data_txt = "{service_data_txt} 処理回数: {loop_cnt}回\n".format(
service_data_txt=service_data_txt,
loop_cnt=self.options.loop_cnt) # noqa
service_data_txt = "{service_data_txt} 補間方法: {interpolation}\n".format(
service_data_txt=service_data_txt,
interpolation=("補間曲線に従う" if self.options.interpolation == 0
else "補間曲線無視（円形）" if self.options.interpolation
== 1 else "補間曲線無視（曲線）")) # noqa
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
# 処理に成功しているか
result = self.convert_smooth()
# 最後に出力
VmdWriter(
MOptionsDataSet(self.options.motion, None, self.options.model,
self.options.output_path, False, False, [],
None, 0, [])).write()
logger.info("出力終了: %s",
os.path.basename(self.options.output_path),
decoration=MLogger.DECORATION_BOX,
title="成功")
return result
except SizingException as se:
logger.error("スムージング処理が処理できないデータで終了しました。\n\n%s",
se.message,
decoration=MLogger.DECORATION_BOX)
except Exception:
logger.critical("スムージング処理が意図せぬエラーで終了しました。\n\n%s",
traceback.format_exc(),
decoration=MLogger.DECORATION_BOX)
finally:
logging.shutdown()
def test_replace_morph_06(self):
motion = VmdMotion()
motion.morphs["A"] = {}
for fno, ratio in [(0, 10), (1, 20), (3, 30), (7, 0), (10, 3)]:
motion.morphs["A"][fno] = VmdMorphFrame(fno)
motion.morphs["A"][fno].ratio = ratio
motion.morphs["B"] = {}
for fno, ratio in [(1, 3), (2, 5), (7, 4), (11, 2)]:
motion.morphs["B"][fno] = VmdMorphFrame(fno)
motion.morphs["B"][fno].ratio = ratio
motion.morphs["C"] = {}
for fno, ratio in [(5, 3), (7, 4), (8, 5)]:
motion.morphs["C"][fno] = VmdMorphFrame(fno)
motion.morphs["C"][fno].ratio = ratio
morph_list = [("A", "B", 2), ("B", "C", 2)]
data_set = MOptionsDataSet(motion, None, None, None, False, False,
morph_list, None, None)
service = MorphService(None)
service.replace_morph(0, data_set)
self.assertEqual(["B", "C"], sorted(list(motion.morphs.keys())))
self.assertTrue("B" in motion.morphs)
self.assertEqual([0, 1, 2, 3, 7, 10, 11],
sorted(list(motion.morphs["B"].keys())))
self.assertEqual(20, motion.morphs["B"][0].ratio)
self.assertEqual(43, motion.morphs["B"][1].ratio)
self.assertEqual(5, motion.morphs["B"][2].ratio)
self.assertEqual(60, motion.morphs["B"][3].ratio)
self.assertEqual(4, motion.morphs["B"][7].ratio)
self.assertEqual(6, motion.morphs["B"][10].ratio)
self.assertEqual(2, motion.morphs["B"][11].ratio)
self.assertTrue("C" in motion.morphs)
self.assertEqual([1, 2, 5, 7, 8, 11],
sorted(list(motion.morphs["C"].keys())))
self.assertEqual(6, motion.morphs["C"][1].ratio)
self.assertEqual(10, motion.morphs["C"][2].ratio)
self.assertEqual(3, motion.morphs["C"][5].ratio)
self.assertEqual(12, motion.morphs["C"][7].ratio)
self.assertEqual(4, motion.morphs["C"][11].ratio)
def test_replace_morph_01(self):
motion = VmdMotion()
motion.morphs = {"A": {}}
for fno, ratio in [(0, 10), (1, 20), (3, 30), (7, 0), (10, 3)]:
motion.morphs["A"][fno] = VmdMorphFrame(fno)
motion.morphs["A"][fno].ratio = ratio
morph_list = []
data_set = MOptionsDataSet(motion, None, None, None, False, False,
morph_list, None, None)
service = MorphService(None)
service.replace_morph(0, data_set)
self.assertEqual(["A"], sorted(list(motion.morphs.keys())))
self.assertTrue("A" in motion.morphs)
self.assertEqual([0, 1, 3, 7, 10],
sorted(list(motion.morphs["A"].keys())))
def test_vmd_output(self):
motion = VmdReader(u"test/data/補間曲線テスト01.vmd").read_data()
model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/ダミーボーン頂点追加2.pmx"
).read_data()
for n in range(100):
fill_fno = 8
fill_bone_name = "右腕{0:03d}".format(n)
fill_bf = motion.calc_bf(fill_bone_name, fill_fno)
fill_bf.key = True
motion.bones[fill_bone_name][fill_fno] = fill_bf
data_set = MOptionsDataSet(
motion, model, model,
"E:/WebDownload/test_vmd_output_{0:%Y%m%d_%H%M%S}.vmd".format(
datetime.now()), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
def thread_event(self):
try:
start = time.time()
# データセットリスト
data_set_list = []
total_process = 0
self.frame.file_panel_ctrl.tree_process_dict = {}
now_camera_output_vmd_path = None
now_camera_data = None
now_camera_path = self.frame.camera_panel_ctrl.camera_vmd_file_ctrl.file_ctrl.GetPath(
)
if len(now_camera_path) > 0:
now_camera_data = self.frame.camera_panel_ctrl.camera_vmd_file_ctrl.data.copy(
)
now_camera_output_vmd_path = self.frame.camera_panel_ctrl.output_camera_vmd_file_ctrl.file_ctrl.GetPath(
)
if self.frame.file_panel_ctrl.file_set.is_loaded():
proccess_key = "【No.1】{0}({1})".format( \
os.path.basename(self.frame.file_panel_ctrl.file_set.motion_vmd_file_ctrl.data.path), \
self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.data.name)
camera_offset_y = 0
camera_org_model = None
if len(now_camera_path) > 0:
camera_org_model = self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.data
if 1 in self.frame.camera_panel_ctrl.camera_set_dict:
if self.frame.camera_panel_ctrl.camera_set_dict[
1].camera_model_file_ctrl.is_set_path():
# カメラ元モデルが指定されている場合、カメラ元モデル再指定
camera_org_model = self.frame.camera_panel_ctrl.camera_set_dict[
1].camera_model_file_ctrl.data
camera_offset_y = self.frame.camera_panel_ctrl.camera_set_dict[
1].camera_offset_y_ctrl.GetValue()
morph_list, morph_seted = self.frame.morph_panel_ctrl.get_morph_list(1, self.frame.file_panel_ctrl.file_set.motion_vmd_file_ctrl.data.digest, \
self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.data.digest, self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.data.digest) # noqa
if not self.frame.camera_panel_ctrl.camera_only_flg_ctrl.GetValue(
):
# 1件目のモーションとモデル
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key] = {
"移動縮尺補正": False
}
total_process += 2 # 基本補正・腕スタンス補正
if self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(
) > 0:
total_process += len(
self.frame.file_panel_ctrl.file_set.
get_selected_stance_details()) # スタンス追加補正
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["スタンス追加補正"] = {}
for v in self.frame.file_panel_ctrl.file_set.get_selected_stance_details(
):
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["スタンス追加補正"][v] = False
self.frame.file_panel_ctrl.tree_process_dict[proccess_key][
"腕スタンス補正"] = False
total_process += self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(
) # 捩り分散
if self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(
) == 1:
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["捩り分散"] = False
if self.frame.arm_panel_ctrl.arm_process_flg_avoidance.GetValue(
) > 0:
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["接触回避"] = False
if morph_seted:
total_process += 1 # モーフ置換
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["モーフ置換"] = False
# 1件目は必ず読み込む
first_data_set = MOptionsDataSet(
motion=self.frame.file_panel_ctrl.file_set.motion_vmd_file_ctrl.data.copy(), \
org_model=self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.data, \
rep_model=self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.data, \
output_vmd_path=self.frame.file_panel_ctrl.file_set.output_vmd_file_ctrl.file_ctrl.GetPath(), \
detail_stance_flg=self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(), \
twist_flg=self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(), \
morph_list=morph_list, \
camera_org_model=camera_org_model, \
camera_offset_y=camera_offset_y, \
selected_stance_details=self.frame.file_panel_ctrl.file_set.get_selected_stance_details()
)
data_set_list.append(first_data_set)
# 2件目以降は有効なのだけ読み込む
for multi_idx, file_set in enumerate(
self.frame.multi_panel_ctrl.file_set_list):
if file_set.is_loaded():
proccess_key = "【No.{0}】{1}({2})".format( \
file_set.set_no, \
os.path.basename(file_set.motion_vmd_file_ctrl.data.path), \
file_set.rep_model_file_ctrl.data.name)
# 2件目移行のモーションとモデル
morph_list, morph_seted = self.frame.morph_panel_ctrl.get_morph_list(file_set.set_no, file_set.motion_vmd_file_ctrl.data.digest, \
file_set.org_model_file_ctrl.data.digest, file_set.rep_model_file_ctrl.data.digest) # noqa
if not self.frame.camera_panel_ctrl.camera_only_flg_ctrl.GetValue(
):
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key] = {
"移動縮尺補正": False
}
total_process += 2 # 基本補正・腕スタンス補正
if file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(
) > 0:
total_process += len(
file_set.get_selected_stance_details(
)) # スタンス追加補正
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["スタンス追加補正"] = {}
for v in file_set.get_selected_stance_details():
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["スタンス追加補正"][v] = False
total_process += file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(
) # 捩り分散
if file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(
) == 1:
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["捩り分散"] = False
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["腕スタンス補正"] = False
if self.frame.arm_panel_ctrl.arm_process_flg_avoidance.GetValue(
) > 0:
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["接触回避"] = False
if morph_seted:
total_process += 1 # モーフ置換
self.frame.file_panel_ctrl.tree_process_dict[
proccess_key]["モーフ置換"] = False
camera_offset_y = 0
camera_org_model = file_set.org_model_file_ctrl.data
if multi_idx + 2 in self.frame.camera_panel_ctrl.camera_set_dict:
if self.frame.camera_panel_ctrl.camera_set_dict[
multi_idx +
2].camera_model_file_ctrl.is_set_path():
# カメラ元モデルが指定されている場合、カメラ元モデル再指定
camera_org_model = self.frame.camera_panel_ctrl.camera_set_dict[
multi_idx + 2].camera_model_file_ctrl.data
camera_offset_y = self.frame.camera_panel_ctrl.camera_set_dict[
multi_idx + 2].camera_offset_y_ctrl.GetValue()
multi_data_set = MOptionsDataSet(
motion=file_set.motion_vmd_file_ctrl.data.copy(), \
org_model=file_set.org_model_file_ctrl.data, \
rep_model=file_set.rep_model_file_ctrl.data, \
output_vmd_path=file_set.output_vmd_file_ctrl.file_ctrl.GetPath(), \
detail_stance_flg=file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(), \
twist_flg=file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(), \
morph_list=morph_list, \
camera_org_model=camera_org_model, \
camera_offset_y=camera_offset_y, \
selected_stance_details=file_set.get_selected_stance_details()
)
data_set_list.append(multi_data_set)
total_process += self.frame.arm_panel_ctrl.arm_process_flg_avoidance.GetValue(
) * len(data_set_list) # 接触回避
total_process += self.frame.arm_panel_ctrl.arm_process_flg_alignment.GetValue(
) # 位置合わせ
if not self.frame.camera_panel_ctrl.camera_only_flg_ctrl.GetValue(
) and self.frame.arm_panel_ctrl.arm_process_flg_alignment.GetValue(
) > 0:
self.frame.file_panel_ctrl.tree_process_dict["位置合わせ"] = False
if len(now_camera_path) > 0:
total_process += 1 # カメラ
self.frame.file_panel_ctrl.tree_process_dict["カメラ補正"] = False
self.options = MOptions(\
version_name=self.frame.version_name, \
logging_level=self.frame.logging_level, \
data_set_list=data_set_list, \
arm_options=MArmProcessOptions( \
self.frame.arm_panel_ctrl.arm_process_flg_avoidance.GetValue(), \
self.frame.arm_panel_ctrl.get_avoidance_target(), \
self.frame.arm_panel_ctrl.arm_process_flg_alignment.GetValue(), \
self.frame.arm_panel_ctrl.arm_alignment_finger_flg_ctrl.GetValue(), \
self.frame.arm_panel_ctrl.arm_alignment_floor_flg_ctrl.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_wrist_slider.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_finger_slider.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_floor_slider.GetValue(), \
self.frame.arm_panel_ctrl.arm_check_skip_flg_ctrl.GetValue()
), \
camera_motion=now_camera_data, \
camera_output_vmd_path=now_camera_output_vmd_path, \
is_sizing_camera_only=self.frame.camera_panel_ctrl.camera_only_flg_ctrl.GetValue(), \
camera_length=self.frame.camera_panel_ctrl.camera_length_slider.GetValue(), \
monitor=self.frame.file_panel_ctrl.console_ctrl, \
is_file=False, \
outout_datetime=logger.outout_datetime, \
max_workers=(1 if self.is_exec_saving else min(32, os.cpu_count() + 4)), \
total_process=total_process, \
now_process=0, \
total_process_ctrl=self.frame.file_panel_ctrl.total_process_ctrl, \
now_process_ctrl=self.frame.file_panel_ctrl.now_process_ctrl, \
tree_process_dict=self.frame.file_panel_ctrl.tree_process_dict)
self.result = SizingService(self.options).execute() and self.result
self.elapsed_time = time.time() - start
except Exception as e:
logger.critical("VMDサイジング処理が意図せぬエラーで終了しました。",
e,
decoration=MLogger.DECORATION_BOX)
finally:
try:
logger.debug("★★★result: %s, is_killed: %s", self.result,
self.is_killed)
if self.is_out_log or (not self.result and not self.is_killed):
# ログパス生成
output_vmd_path = self.frame.file_panel_ctrl.file_set.output_vmd_file_ctrl.file_ctrl.GetPath(
)
self.output_log_path = re.sub(r'\.vmd$', '.log',
output_vmd_path)
# 出力されたメッセージを全部出力
self.frame.file_panel_ctrl.console_ctrl.SaveFile(
filename=self.output_log_path)
except Exception:
pass
def convert_noise(self, copy_no: int, seed: float):
logger.info("ゆらぎ複製 【No.%s】", (copy_no + 1),
decoration=MLogger.DECORATION_LINE)
# データをコピーしてそっちを弄る
motion = self.options.motion.copy()
for bone_name in motion.bones.keys():
if not self.options.finger_noise_flg and "指" in bone_name:
logger.info("-- 指スキップ【No.%s - %s】", copy_no + 1, bone_name)
continue
fnos = motion.get_bone_fnos(bone_name)
prev_fno = 0
prev_sep_fno = 0
# 事前に細分化
self.prepare_split_stance(motion, bone_name)
logger.info("-- 準備完了【No.%s - %s】", copy_no + 1, bone_name)
for fno in fnos:
bf = motion.bones[bone_name][fno]
org_bf = self.options.motion.calc_bf(bone_name, fno)
# 移動
if bf.position != MVector3D():
prev_org_bf = self.options.motion.calc_bf(
bone_name, prev_fno)
if org_bf.position == prev_org_bf.position and fno > 0:
bf.position = motion.calc_bf(bone_name,
prev_fno).position
else:
# 0だったら動かさない
if round(org_bf.position.x(), 1) != 0:
if self.options.motivation_flg:
bf.position.setX(
bf.position.x() * seed +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
else:
bf.position.setX(
bf.position.x() +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
if round(org_bf.position.y(),
1) != 0 and "足ＩＫ" not in bone_name:
# 足ＩＫのＹは動かさない
if self.options.motivation_flg:
if org_bf.position.y() < 0:
# Yはオリジナルがマイナスの場合は、マイナスのみに動かす
bf.position.setY(
bf.position.y() * seed +
(0 - np.random.rand()) *
(self.options.noise_size / 10))
elif org_bf.position.y() > 0:
bf.position.setY(
bf.position.y() * seed +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
else:
bf.position.setY(
bf.position.y() +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
if round(org_bf.position.z(), 1) != 0:
if self.options.motivation_flg:
bf.position.setZ(
bf.position.z() * seed +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
else:
bf.position.setZ(
bf.position.z() +
(0.5 - np.random.rand()) *
(self.options.noise_size / 10))
# 移動補間曲線
for (bz_idx1, bz_idx2, bz_idx3, bz_idx4) in [MBezierUtils.MX_x1_idxs, MBezierUtils.MX_y1_idxs, MBezierUtils.MX_x2_idxs, MBezierUtils.MX_y2_idxs, \
MBezierUtils.MY_x1_idxs, MBezierUtils.MY_y1_idxs, MBezierUtils.MY_x2_idxs, MBezierUtils.MY_y2_idxs, \
MBezierUtils.MZ_x1_idxs, MBezierUtils.MZ_y1_idxs, MBezierUtils.MZ_x2_idxs, MBezierUtils.MZ_y2_idxs]:
noise_interpolation = bf.interpolation[
bz_idx1] + math.ceil((0.5 - np.random.rand()) *
self.options.noise_size)
bf.interpolation[bz_idx1] = bf.interpolation[
bz_idx2] = bf.interpolation[
bz_idx3] = bf.interpolation[bz_idx4] = int(
noise_interpolation)
# 回転
euler = bf.rotation.toEulerAngles()
# 回転は元が0であっても動かす(足は除く)
if "足" not in bone_name and "ひざ" not in bone_name and "足首" not in bone_name:
if self.options.motivation_flg:
euler.setX(euler.x() * seed +
(0.5 - np.random.rand()) *
self.options.noise_size)
euler.setY(euler.y() * seed +
(0.5 - np.random.rand()) *
self.options.noise_size)
euler.setZ(euler.z() * seed +
(0.5 - np.random.rand()) *
self.options.noise_size)
else:
euler.setX(euler.x() + (0.5 - np.random.rand()) *
self.options.noise_size)
euler.setY(euler.y() + (0.5 - np.random.rand()) *
self.options.noise_size)
euler.setZ(euler.z() + (0.5 - np.random.rand()) *
self.options.noise_size)
bf.rotation = MQuaternion.fromEulerAngles(
euler.x(), euler.y(), euler.z())
# 回転補間曲線
for (bz_idx1, bz_idx2, bz_idx3, bz_idx4) in [
MBezierUtils.R_x1_idxs, MBezierUtils.R_y1_idxs,
MBezierUtils.R_x2_idxs, MBezierUtils.R_y2_idxs
]:
noise_interpolation = bf.interpolation[bz_idx1] + math.ceil(
(0.5 - np.random.rand()) * self.options.noise_size)
bf.interpolation[bz_idx1] = bf.interpolation[
bz_idx2] = bf.interpolation[
bz_idx3] = bf.interpolation[bz_idx4] = int(
noise_interpolation)
# 前回fno保持
prev_fno = fno
if fno // 2000 > prev_sep_fno and fnos[-1] > 0:
logger.count(f"【No.{copy_no + 1} - {bone_name}】", fno,
fnos)
prev_sep_fno = fno // 2000
output_path = self.options.output_path.replace(
"nxxx", "n{0:03d}".format(copy_no + 1))
output_path = output_path.replace(
"axxx", "a{0:+03d}".format(int(seed * 100) - 100))
# 最後に出力
VmdWriter(
MOptionsDataSet(motion, None, self.options.model, output_path,
False, False, [], None, 0, [])).write()
logger.info("出力成功: %s",
os.path.basename(output_path),
decoration=MLogger.DECORATION_BOX)
return True
def convert_vmd(self):
dt_now = datetime.now()
bone_fpath = None
bone_motion = VmdMotion()
if self.options.bone_csv_path and os.path.exists(self.options.bone_csv_path):
# ボーンモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(self.options.bone_csv_path)
# ボーンモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(os.path.basename(self.options.bone_csv_path))
bone_fpath = "{0}\\{1}_bone_{2:%Y%m%d_%H%M%S}.vmd".format(motion_csv_dir_path, motion_csv_file_name, dt_now)
# ボーンCSV読み込み
with open(self.options.bone_csv_path, encoding='cp932', mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for row in reader:
bf = VmdBoneFrame()
# ボーン名
bf.set_name(row[0])
# フレーム
bf.fno = int(float(row[1]))
# 位置
bf.position = MVector3D(float(row[2]), float(row[3]), float(row[4]))
# 回転
bf.rotation = MQuaternion.fromEulerAngles(float(row[5]), float(row[6]) * -1, float(row[7]) * -1)
# 補間曲線
# 補間曲線(一旦floatで読み込んで指数等も読み込んだ後、intに変換)
bf.interpolation = [int(float(row[8])), int(float(row[9])), int(float(row[10])), int(float(row[11])), int(float(row[12])), int(float(row[13])), \
int(float(row[14])), int(float(row[15])), int(float(row[16])), int(float(row[17])), int(float(row[18])), int(float(row[19])), \
int(float(row[20])), int(float(row[21])), int(float(row[22])), int(float(row[23])), int(float(row[24])), int(float(row[25])), \
int(float(row[26])), int(float(row[27])), int(float(row[28])), int(float(row[29])), int(float(row[30])), int(float(row[31])), \
int(float(row[32])), int(float(row[33])), int(float(row[34])), int(float(row[35])), int(float(row[36])), int(float(row[37])), \
int(float(row[38])), int(float(row[39])), int(float(row[40])), int(float(row[41])), int(float(row[42])), int(float(row[43])), \
int(float(row[44])), int(float(row[45])), int(float(row[46])), int(float(row[47])), int(float(row[48])), int(float(row[49])), \
int(float(row[50])), int(float(row[51])), int(float(row[52])), int(float(row[53])), int(float(row[54])), int(float(row[55])), \
int(float(row[56])), int(float(row[57])), int(float(row[58])), int(float(row[59])), int(float(row[60])), int(float(row[61])), \
int(float(row[62])), int(float(row[63])), int(float(row[64])), int(float(row[65])), int(float(row[66])), int(float(row[67])), \
int(float(row[68])), int(float(row[69])), int(float(row[70])), int(float(row[71]))]
bf.read = True
bf.key = True
if bf.name not in bone_motion.bones:
bone_motion.bones[bf.name] = {}
bone_motion.bones[bf.name][bf.fno] = bf
cnt += 1
if cnt % 10000 == 0:
logger.info("[ボーン] %sキー目:終了", cnt)
if self.options.morph_csv_path and os.path.exists(self.options.morph_csv_path):
# モーフモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(self.options.morph_csv_path)
# モーフモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(os.path.basename(self.options.morph_csv_path))
if not bone_fpath:
bone_fpath = "{0}\\{1}_morph_{2:%Y%m%d_%H%M%S}.vmd".format(motion_csv_dir_path, motion_csv_file_name, dt_now)
# モーフCSV読み込み
with open(self.options.morph_csv_path, encoding='cp932', mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for row in reader:
mf = VmdMorphFrame()
# ボーン名
mf.set_name(row[0])
# フレーム
mf.fno = int(float(row[1]))
# 位置
mf.ratio = float(row[2])
if mf.name not in bone_motion.morphs:
bone_motion.morphs[mf.name] = {}
bone_motion.morphs[mf.name][mf.fno] = mf
cnt += 1
if cnt % 1000 == 0:
logger.info("[モーフ] %sキー目:終了", cnt)
if len(bone_motion.bones.keys()) > 0 or len(bone_motion.morphs.keys()) > 0:
# ボーンかモーフのキーがある場合、まとめて出力
model = PmxModel()
model.name = "CSV Convert Model"
data_set = MOptionsDataSet(bone_motion, None, model, bone_fpath, False, False, [], None, None, [])
VmdWriter(data_set).write()
logger.info("ボーン・モーフモーションVMD: %s", bone_fpath, decoration=MLogger.DECORATION_BOX)
if self.options.camera_csv_path and os.path.exists(self.options.camera_csv_path):
# カメラモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(self.options.camera_csv_path)
# カメラモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(os.path.basename(self.options.camera_csv_path))
camera_fpath = "{0}\\{1}_camera_{2:%Y%m%d_%H%M%S}.vmd".format(motion_csv_dir_path, motion_csv_file_name, dt_now)
camera_motion = VmdMotion()
# カメラCSV読み込み
with open(self.options.camera_csv_path, encoding='cp932', mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for row in reader:
cf = VmdCameraFrame()
# フレーム
cf.fno = int(row[0])
# 位置
cf.position = MVector3D(float(row[1]), float(row[2]), float(row[3]))
# 回転（オイラー角）
cf.euler = MVector3D(float(row[4]), float(row[5]), float(row[6]))
# 距離
cf.length = -(float(row[7]))
# 視野角
cf.angle = int(row[8])
# パース
cf.perspective = int(row[9])
# 補間曲線
cf.interpolation = [int(float(row[10])), int(float(row[11])), int(float(row[12])), int(float(row[13])), int(float(row[14])), int(float(row[15])), \
int(float(row[16])), int(float(row[17])), int(float(row[18])), int(float(row[19])), int(float(row[20])), int(float(row[21])), \
int(float(row[22])), int(float(row[23])), int(float(row[24])), int(float(row[25])), int(float(row[26])), int(float(row[27])), \
int(float(row[28])), int(float(row[29])), int(float(row[30])), int(float(row[31])), int(float(row[32])), int(float(row[33]))]
camera_motion.cameras[cf.fno] = cf
cnt += 1
if cnt % 500 == 0:
logger.info("[カメラ] %sキー目:終了", cnt)
if len(camera_motion.cameras) > 0:
# ボーンかモーフのキーがある場合、まとめて出力
model = PmxModel()
model.name = "カメラ・照明"
data_set = MOptionsDataSet(camera_motion, None, model, camera_fpath, False, False, [], None, None, [])
VmdWriter(data_set).write()
logger.info("カメラモーションVMD: %s", camera_fpath, decoration=MLogger.DECORATION_BOX)
return True
def a_test_split_bf_by_fno02(self):
original_motion = VmdReader(u"test/data/補間曲線テスト01.vmd").read_data()
model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/ダミーボーン頂点追加2.pmx"
).read_data()
target_bone_name = "ﾎﾞｰﾝ01"
links = BoneLinks()
links.append(model.bones["SIZING_ROOT_BONE"])
links.append(model.bones["ﾎﾞｰﾝ01"])
base_params = [0, 16, 32, 127]
# https://qiita.com/wakame1367/items/0744268e928a28810c20
for xparams, yparams, zparams, rparams in zip(np.array(np.meshgrid(base_params, base_params, base_params, base_params)).T.reshape(-1, 4), \
np.array(np.meshgrid(base_params, base_params, base_params, base_params)).T.reshape(-1, 4), \
np.array(np.meshgrid(base_params, base_params, base_params, base_params)).T.reshape(-1, 4), \
np.array(np.meshgrid(base_params, base_params, base_params, base_params)).T.reshape(-1, 4)):
try:
for fill_fno in range(
original_motion.get_bone_fnos(target_bone_name)[0] + 1,
original_motion.get_bone_fnos(target_bone_name)[-1]):
motion = cPickle.loads(cPickle.dumps(original_motion, -1))
# bfの補間曲線を再設定する
next_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[-1]]
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(xparams[0], xparams[1]), MVector2D(xparams[2], xparams[3]), None], \
MBezierUtils.MX_x1_idxs, MBezierUtils.MX_y1_idxs, MBezierUtils.MX_x2_idxs, MBezierUtils.MX_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(yparams[0], yparams[1]), MVector2D(yparams[2], yparams[3]), None], \
MBezierUtils.MY_x1_idxs, MBezierUtils.MY_y1_idxs, MBezierUtils.MY_x2_idxs, MBezierUtils.MY_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(zparams[0], zparams[1]), MVector2D(zparams[2], zparams[3]), None], \
MBezierUtils.MZ_x1_idxs, MBezierUtils.MZ_y1_idxs, MBezierUtils.MZ_x2_idxs, MBezierUtils.MZ_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(rparams[0], rparams[1]), MVector2D(rparams[2], rparams[3]), None], \
MBezierUtils.R_x1_idxs, MBezierUtils.R_y1_idxs, MBezierUtils.R_x2_idxs, MBezierUtils.R_y2_idxs)
# 補間曲線を再設定したモーションを再保持
org_motion = cPickle.loads(cPickle.dumps(motion, -1))
# 間のキーフレをテスト
prev_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[0]]
next_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[-1]]
result = motion.split_bf_by_fno(target_bone_name, prev_bf,
next_bf, fill_fno)
# 分割に成功した場合、誤差小。失敗してる場合は誤差大
delta = 0.3 if result else 1
# print("-----------------------------")
# for now_fno in motion.get_bone_fnos(target_bone_name):
# # 有効なキーフレをテスト
# now_bf = motion.calc_bf(target_bone_name, now_fno)
# org_pos_dic = MServiceUtils.calc_global_pos(model, links, org_motion, now_fno)
# now_pos_dic = MServiceUtils.calc_global_pos(model, links, motion, now_fno)
# print("fill_fno: %s, now_fno: %s key: %s ------------" % (fill_fno, now_bf.fno, now_bf.key))
# print("xparams: %s" % xparams)
# print("yparams: %s" % yparams)
# print("zparams: %s" % zparams)
# print("rparams: %s" % rparams)
# print("position: %s" % now_bf.position)
# print("rotation: %s" % now_bf.rotation.toEulerAngles4MMD())
# print("int move x: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MX_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y1_idxs[3]], \
# now_bf.interpolation[MBezierUtils.MX_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y2_idxs[3]]))
# print("int move y: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MY_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y1_idxs[3]], \
# now_bf.interpolation[MBezierUtils.MY_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y2_idxs[3]]))
# print("int move z: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MZ_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y1_idxs[3]], \
# now_bf.interpolation[MBezierUtils.MZ_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y2_idxs[3]]))
# print("int rot: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.R_x1_idxs[3]], now_bf.interpolation[MBezierUtils.R_y1_idxs[3]], \
# now_bf.interpolation[MBezierUtils.R_x2_idxs[3]], now_bf.interpolation[MBezierUtils.R_y2_idxs[3]]))
# self.assertAlmostEqual(org_pos_dic[target_bone_name].x(), now_pos_dic[target_bone_name].x(), delta=(delta * 2))
# self.assertAlmostEqual(org_pos_dic[target_bone_name].y(), now_pos_dic[target_bone_name].y(), delta=(delta * 3))
# self.assertAlmostEqual(org_pos_dic[target_bone_name].z(), now_pos_dic[target_bone_name].z(), delta=(delta * 4))
print("-----------------------------")
for fno in range(
motion.get_bone_fnos(target_bone_name)[-1]):
# org_bf = org_motion.calc_bf(target_bone_name, fno)
now_bf = motion.calc_bf(target_bone_name, fno)
org_pos_dic = MServiceUtils.calc_global_pos(
model, links, org_motion, fno)
now_pos_dic = MServiceUtils.calc_global_pos(
model, links, motion, fno)
print("** fill_fno: %s, fno: %s key: %s ------------" %
(fill_fno, now_bf.fno, now_bf.key))
print("xparams: %s" % xparams)
print("yparams: %s" % yparams)
print("zparams: %s" % zparams)
print("rparams: %s" % rparams)
print("** position: %s" % now_bf.position)
print("** rotation: %s" %
now_bf.rotation.toEulerAngles4MMD())
print("** int move x: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MX_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MX_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y2_idxs[3]]))
print("** int move y: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MY_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MY_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y2_idxs[3]]))
print("** int move z: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MZ_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MZ_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y2_idxs[3]]))
print("** int rot: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.R_x1_idxs[3]], now_bf.interpolation[MBezierUtils.R_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.R_x2_idxs[3]], now_bf.interpolation[MBezierUtils.R_y2_idxs[3]]))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].x(),
now_pos_dic[target_bone_name].x(),
delta=(delta * 2))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].y(),
now_pos_dic[target_bone_name].y(),
delta=(delta * 3))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].z(),
now_pos_dic[target_bone_name].z(),
delta=(delta * 4))
# now = datetime.now()
# data_set = MOptionsDataSet(motion, model, model, "E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}.vmd".format(now), False, False)
# VmdWriter(data_set).write()
# print(data_set.output_vmd_path)
# data_set = MOptionsDataSet(org_motion, model, model, "E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}_orignal.vmd".format(now), False, False)
# VmdWriter(data_set).write()
# print(data_set.output_vmd_path)
except Exception as e:
# エラーになったらデータを出力する
now = datetime.now()
data_set = MOptionsDataSet(
motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
data_set = MOptionsDataSet(
org_motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}_orignal.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
raise e
def test_split_bf_by_fno01(self):
original_motion = VmdReader(u"test/data/補間曲線テスト01.vmd").read_data()
model = PmxReader(
"D:/MMD/MikuMikuDance_v926x64/UserFile/Model/ダミーボーン頂点追加2.pmx"
).read_data()
target_bone_name = "ﾎﾞｰﾝ01"
links = BoneLinks()
links.append(model.bones["SIZING_ROOT_BONE"])
links.append(model.bones["ﾎﾞｰﾝ01"])
for pidx in range(10):
try:
params = np.random.randint(0, 127, (1, 4))
# params = [[116, 24, 22, 82]]
for fill_fno in range(
original_motion.get_bone_fnos(target_bone_name)[0] + 1,
original_motion.get_bone_fnos(target_bone_name)[-1]):
motion = original_motion.copy()
# bfの補間曲線を再設定する
next_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[-1]]
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(20, 20), MVector2D(107, 107), None], \
MBezierUtils.R_x1_idxs, MBezierUtils.R_y1_idxs, MBezierUtils.R_x2_idxs, MBezierUtils.R_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(params[0][0], params[0][1]), MVector2D(params[0][2], params[0][3]), None], \
MBezierUtils.MX_x1_idxs, MBezierUtils.MX_y1_idxs, MBezierUtils.MX_x2_idxs, MBezierUtils.MX_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(20, 20), MVector2D(107, 107), None], \
MBezierUtils.MY_x1_idxs, MBezierUtils.MY_y1_idxs, MBezierUtils.MY_x2_idxs, MBezierUtils.MY_y2_idxs)
motion.reset_interpolation_parts(target_bone_name, next_bf, [None, MVector2D(20, 20), MVector2D(107, 107), None], \
MBezierUtils.MZ_x1_idxs, MBezierUtils.MZ_y1_idxs, MBezierUtils.MZ_x2_idxs, MBezierUtils.MZ_y2_idxs)
# 補間曲線を再設定したモーションを再保持
org_motion = motion.copy()
# 間のキーフレをテスト
prev_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[0]]
next_bf = motion.bones[target_bone_name][
motion.get_bone_fnos(target_bone_name)[-1]]
result = motion.split_bf_by_fno(target_bone_name, prev_bf,
next_bf, fill_fno)
# 分割に成功した場合、誤差小。失敗してる場合は誤差大
delta = 0.3 if result else 1
print("-----------------------------")
for now_fno in motion.get_bone_fnos(target_bone_name):
# 有効なキーフレをテスト
now_bf = motion.calc_bf(target_bone_name, now_fno)
org_pos_dic = MServiceUtils.calc_global_pos(
model, links, org_motion, now_fno)
now_pos_dic = MServiceUtils.calc_global_pos(
model, links, motion, now_fno)
print(
"fill_fno: %s, now_fno: %s key: %s (%s) ------------"
% (fill_fno, now_bf.fno, now_bf.key, pidx))
print("params: %s" % params)
print("position: %s" % now_bf.position)
print("rotation: %s" %
now_bf.rotation.toEulerAngles4MMD())
print("int move x: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MX_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MX_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y2_idxs[3]]))
print("int move y: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MY_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MY_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y2_idxs[3]]))
print("int move z: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MZ_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MZ_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y2_idxs[3]]))
print("int rot: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.R_x1_idxs[3]], now_bf.interpolation[MBezierUtils.R_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.R_x2_idxs[3]], now_bf.interpolation[MBezierUtils.R_y2_idxs[3]]))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].x(),
now_pos_dic[target_bone_name].x(),
delta=0.2)
self.assertAlmostEqual(
org_pos_dic[target_bone_name].y(),
now_pos_dic[target_bone_name].y(),
delta=0.2)
self.assertAlmostEqual(
org_pos_dic[target_bone_name].z(),
now_pos_dic[target_bone_name].z(),
delta=0.2)
print("-----------------------------")
for fno in range(
motion.get_bone_fnos(target_bone_name)[-1]):
# org_bf = org_motion.calc_bf(target_bone_name, fno)
now_bf = motion.calc_bf(target_bone_name, fno)
org_pos_dic = MServiceUtils.calc_global_pos(
model, links, org_motion, fno)
now_pos_dic = MServiceUtils.calc_global_pos(
model, links, motion, fno)
print(
"** fill_fno: %s, fno: %s key: %s (%s) ------------"
% (fill_fno, now_bf.fno, now_bf.key, pidx))
print("** params: %s" % params)
print("** position: %s" % now_bf.position)
print("** rotation: %s" %
now_bf.rotation.toEulerAngles4MMD())
print("** int move x: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MX_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MX_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MX_y2_idxs[3]]))
print("** int move y: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MY_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MY_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MY_y2_idxs[3]]))
print("** int move z: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.MZ_x1_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.MZ_x2_idxs[3]], now_bf.interpolation[MBezierUtils.MZ_y2_idxs[3]]))
print("** int rot: %s, %s, %s, %s" % (now_bf.interpolation[MBezierUtils.R_x1_idxs[3]], now_bf.interpolation[MBezierUtils.R_y1_idxs[3]], \
now_bf.interpolation[MBezierUtils.R_x2_idxs[3]], now_bf.interpolation[MBezierUtils.R_y2_idxs[3]]))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].x(),
now_pos_dic[target_bone_name].x(),
delta=(delta * 2))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].y(),
now_pos_dic[target_bone_name].y(),
delta=(delta * 3))
self.assertAlmostEqual(
org_pos_dic[target_bone_name].z(),
now_pos_dic[target_bone_name].z(),
delta=(delta * 4))
now = datetime.now()
data_set = MOptionsDataSet(
motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
data_set = MOptionsDataSet(
org_motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}_orignal.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
except Exception as e:
# エラーになったらデータを出力する
now = datetime.now()
data_set = MOptionsDataSet(
motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
data_set = MOptionsDataSet(
org_motion, model, model,
"E:/WebDownload/test_split_bf_by_fno01_{0:%Y%m%d_%H%M%S%f}_orignal.vmd"
.format(now), False, False)
VmdWriter(data_set).write()
print(data_set.output_vmd_path)
raise e
def execute(self):
logging.basicConfig(level=self.options.logging_level,
format="%(message)s [%(module_name)s]")
try:
service_data_txt = "足ＩＫ変換処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name) \
service_data_txt = "{service_data_txt} VMD: {vmd}\n".format(
service_data_txt=service_data_txt,
vmd=os.path.basename(self.options.motion.path)) # noqa
service_data_txt = "{service_data_txt} モデル: {model}({model_name})\n".format(
service_data_txt=service_data_txt,
model=os.path.basename(self.options.motion.path),
model_name=self.options.model.name) # noqa
service_data_txt = "{service_data_txt} 不要キー削除: {center_rotation}\n".format(
service_data_txt=service_data_txt,
center_rotation=self.options.remove_unnecessary_flg) # noqa
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
futures = []
with ThreadPoolExecutor(
thread_name_prefix="leffk",
max_workers=self.options.max_workers) as executor:
futures.append(executor.submit(self.convert_leg_fk2ik, "右"))
futures.append(executor.submit(self.convert_leg_fk2ik, "左"))
concurrent.futures.wait(
futures,
timeout=None,
return_when=concurrent.futures.FIRST_EXCEPTION)
for f in futures:
if not f.result():
return False
# 最後に出力
VmdWriter(
MOptionsDataSet(self.options.motion, None, self.options.model,
self.options.output_path, False, False, [],
None, 0, [])).write()
logger.info("出力終了: %s",
os.path.basename(self.options.output_path),
decoration=MLogger.DECORATION_BOX,
title="成功")
return True
except MKilledException:
return False
except SizingException as se:
logger.error("足ＩＫ変換処理が処理できないデータで終了しました。\n\n%s",
se.message,
decoration=MLogger.DECORATION_BOX)
except Exception:
logger.critical("足ＩＫ変換処理が意図せぬエラーで終了しました。\n\n%s",
traceback.format_exc(),
decoration=MLogger.DECORATION_BOX)
finally:
logging.shutdown()
def execute(self):
logging.basicConfig(level=self.options.logging_level, format="%(message)s [%(module_name)s]")
try:
service_data_txt = "VMDサイジング処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name)
for data_set_idx, data_set in enumerate(self.options.data_set_list):
service_data_txt = "{service_data_txt}\n【No.{no}】 --------- \n".format(service_data_txt=service_data_txt, no=(data_set_idx+1)) # noqa
service_data_txt = "{service_data_txt} モーション: {motion}\n".format(service_data_txt=service_data_txt,
motion=os.path.basename(data_set.motion.path)) # noqa
service_data_txt = "{service_data_txt} 作成元モデル: {trace_model} ({model_name})\n".format(service_data_txt=service_data_txt,
trace_model=os.path.basename(data_set.org_model.path), model_name=data_set.org_model.name) # noqa
service_data_txt = "{service_data_txt} 変換先モデル: {replace_model} ({model_name})\n".format(service_data_txt=service_data_txt,
replace_model=os.path.basename(data_set.rep_model.path), model_name=data_set.rep_model.name) # noqa
if data_set.camera_org_model:
service_data_txt = "{service_data_txt} カメラ作成元モデル: {trace_model} ({model_name})\n".format(service_data_txt=service_data_txt,
trace_model=os.path.basename(data_set.camera_org_model.path), model_name=data_set.camera_org_model.name) # noqa
service_data_txt = "{service_data_txt} Yオフセット: {camera_offset_y}\n".format(service_data_txt=service_data_txt,
camera_offset_y=data_set.camera_offset_y) # noqa
service_data_txt = "{service_data_txt} スタンス追加補正有無: {detail_stance_flg}\n".format(service_data_txt=service_data_txt,
detail_stance_flg=data_set.detail_stance_flg) # noqa
if data_set.detail_stance_flg:
# スタンス追加補正がある場合、そのリストを表示
service_data_txt = "{service_data_txt} {detail_stance_flg}\n".format(service_data_txt=service_data_txt,
detail_stance_flg=", ".join(data_set.selected_stance_details)) # noqa
service_data_txt = "{service_data_txt} 捩り分散有無: {twist_flg}\n".format(service_data_txt=service_data_txt,
twist_flg=data_set.twist_flg) # noqa
morph_list = []
for (org_morph_name, rep_morph_name, morph_ratio) in data_set.morph_list:
morph_list.append(f"{org_morph_name} → {rep_morph_name} ({morph_ratio})")
morph_txt = ", ".join(morph_list)
service_data_txt = "{service_data_txt} モーフ置換: {morph_txt}\n".format(service_data_txt=service_data_txt,
morph_txt=morph_txt) # noqa
if data_set_idx in self.options.arm_options.avoidance_target_list:
service_data_txt = "{service_data_txt} 対象剛体名: {avoidance_target}\n".format(service_data_txt=service_data_txt,
avoidance_target=", ".join(self.options.arm_options.avoidance_target_list[data_set_idx])) # noqa
service_data_txt = "{service_data_txt}\n--------- \n".format(service_data_txt=service_data_txt) # noqa
if self.options.arm_options.avoidance:
service_data_txt = "{service_data_txt}剛体接触回避: {avoidance}\n".format(service_data_txt=service_data_txt,
avoidance=self.options.arm_options.avoidance) # noqa
if self.options.arm_options.alignment:
service_data_txt = "{service_data_txt}手首位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment, distance=self.options.arm_options.alignment_distance_wrist) # noqa
service_data_txt = "{service_data_txt}指位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment_finger_flg, distance=self.options.arm_options.alignment_distance_finger) # noqa
service_data_txt = "{service_data_txt}床位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment_floor_flg, distance=self.options.arm_options.alignment_distance_floor) # noqa
if self.options.arm_options.arm_check_skip_flg:
service_data_txt = "{service_data_txt}腕チェックスキップ: {arm_check_skip}\n".format(service_data_txt=service_data_txt,
arm_check_skip=self.options.arm_options.arm_check_skip_flg) # noqa
if self.options.camera_motion:
service_data_txt = "{service_data_txt}カメラ: {camera}({camera_length})\n".format(service_data_txt=service_data_txt,
camera=os.path.basename(self.options.camera_motion.path), camera_length=self.options.camera_length) # noqa
service_data_txt = "{service_data_txt} 距離制限: {camera_length}{camera_length_umlimit}\n".format(service_data_txt=service_data_txt,
camera_length=self.options.camera_length, camera_length_umlimit=("" if self.options.camera_length < 5 else "(無制限)")) # noqa
service_data_txt = "{service_data_txt}------------------------".format(service_data_txt=service_data_txt) # noqa
if self.options.total_process_ctrl:
self.options.total_process_ctrl.write(str(self.options.total_process))
self.options.now_process_ctrl.write("0")
self.options.now_process_ctrl.write(str(self.options.now_process))
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
if self.options.is_sizing_camera_only is True:
# カメラサイジングのみ実行する場合、出力結果VMDを読み込む
for data_set_idx, data_set in enumerate(self.options.data_set_list):
reader = VmdReader(data_set.output_vmd_path)
data_set.motion = reader.read_data()
else:
for data_set_idx, data_set in enumerate(self.options.data_set_list):
# 足IKのXYZの比率
data_set.original_xz_ratio, data_set.original_y_ratio = MServiceUtils.calc_leg_ik_ratio(data_set)
# 足IKの比率再計算
self.options.calc_leg_ratio()
# 移動補正
if not MoveService(self.options).execute():
return False
# スタンス補正
if not StanceService(self.options).execute():
return False
# 剛体接触回避
if self.options.arm_options.avoidance:
if not ArmAvoidanceService(self.options).execute():
return False
# 手首位置合わせ
if self.options.arm_options.alignment:
if not ArmAlignmentService(self.options).execute():
return False
# カメラ補正
if self.options.camera_motion:
if not CameraService(self.options).execute():
return False
if self.options.is_sizing_camera_only is False:
# モーフ置換
if not MorphService(self.options).execute():
return False
for data_set_idx, data_set in enumerate(self.options.data_set_list):
# 実行後、出力ファイル存在チェック
try:
# 出力
VmdWriter(data_set).write()
Path(data_set.output_vmd_path).resolve(True)
logger.info("【No.%s】 出力終了: %s", (data_set_idx + 1), os.path.basename(data_set.output_vmd_path), decoration=MLogger.DECORATION_BOX, title="サイジング成功")
except FileNotFoundError as fe:
logger.error("【No.%s】出力VMDファイルが正常に作成されなかったようです。\nパスを確認してください。%s\n\n%s", (data_set_idx + 1), data_set.output_vmd_path, fe, decoration=MLogger.DECORATION_BOX)
if self.options.camera_motion:
try:
camera_model = PmxModel()
camera_model.name = "カメラ・照明"
data_set = MOptionsDataSet(self.options.camera_motion, None, camera_model, self.options.camera_output_vmd_path, 0, 0, [], None, 0, [])
# 出力
VmdWriter(data_set).write()
Path(data_set.output_vmd_path).resolve(True)
logger.info("カメラ出力終了: %s", os.path.basename(data_set.output_vmd_path), decoration=MLogger.DECORATION_BOX, title="サイジング成功")
except FileNotFoundError as fe:
logger.error("カメラ出力VMDファイルが正常に作成されなかったようです。\nパスを確認してください。%s\n\n%s", self.options.camera_output_vmd_path, fe, decoration=MLogger.DECORATION_BOX)
if int(self.options.total_process) != int(self.options.now_process):
logger.warning("一部処理がスキップされました。\n画面左下の進捗数をクリックすると、スキップされた処理がグレーで表示されています。", decoration=MLogger.DECORATION_BOX)
return True
except MKilledException:
return False
except SizingException as se:
logger.error("サイジング処理が処理できないデータで終了しました。\n\n%s", se, decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.critical("サイジング処理が意図せぬエラーで終了しました。", e, decoration=MLogger.DECORATION_BOX)
return False
finally:
logging.shutdown()
def thread_event(self):
try:
start = time.time()
# データセットリスト
data_set_list = []
if self.frame.file_panel_ctrl.file_set.motion_vmd_file_ctrl.load():
camera_org_model = self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.data
camera_offset_y = 0
if 1 in self.frame.camera_panel_ctrl.camera_set_dict:
if self.frame.camera_panel_ctrl.camera_set_dict[1].camera_model_file_ctrl.is_set_path():
# カメラ元モデルが指定されている場合、カメラ元モデル再指定
camera_org_model = self.frame.camera_panel_ctrl.camera_set_dict[1].camera_model_file_ctrl.data
camera_offset_y = self.frame.camera_panel_ctrl.camera_set_dict[1].camera_offset_y_ctrl.GetValue()
# 1件目は必ず読み込む
first_data_set = MOptionsDataSet(
motion=self.frame.file_panel_ctrl.file_set.motion_vmd_file_ctrl.data.copy(), \
org_model=self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.data, \
rep_model=self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.data, \
output_vmd_path=self.frame.file_panel_ctrl.file_set.output_vmd_file_ctrl.file_ctrl.GetPath(), \
detail_stance_flg=self.frame.file_panel_ctrl.file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(), \
twist_flg=self.frame.file_panel_ctrl.file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(), \
morph_list=self.frame.morph_panel_ctrl.get_morph_list(1), \
camera_org_model=camera_org_model, \
camera_offset_y=camera_offset_y, \
selected_stance_details=self.frame.file_panel_ctrl.file_set.get_selected_stance_details()
)
data_set_list.append(first_data_set)
# 2件目以降は有効なのだけ読み込む
for multi_idx, file_set in enumerate(self.frame.multi_panel_ctrl.file_set_list):
if file_set.is_loaded():
camera_offset_y = 0
camera_org_model = file_set.org_model_file_ctrl.data
if multi_idx + 2 in self.frame.camera_panel_ctrl.camera_set_dict:
if self.frame.camera_panel_ctrl.camera_set_dict[multi_idx + 2].camera_model_file_ctrl.is_set_path():
# カメラ元モデルが指定されている場合、カメラ元モデル再指定
camera_org_model = self.frame.camera_panel_ctrl.camera_set_dict[multi_idx + 2].camera_model_file_ctrl.data
camera_offset_y = self.frame.camera_panel_ctrl.camera_set_dict[multi_idx + 2].camera_offset_y_ctrl.GetValue()
multi_data_set = MOptionsDataSet(
motion=file_set.motion_vmd_file_ctrl.data.copy(), \
org_model=file_set.org_model_file_ctrl.data, \
rep_model=file_set.rep_model_file_ctrl.data, \
output_vmd_path=file_set.output_vmd_file_ctrl.file_ctrl.GetPath(), \
detail_stance_flg=file_set.org_model_file_ctrl.title_parts_ctrl.GetValue(), \
twist_flg=file_set.rep_model_file_ctrl.title_parts_ctrl.GetValue(), \
morph_list=self.frame.morph_panel_ctrl.get_morph_list(file_set.set_no), \
camera_org_model=camera_org_model, \
camera_offset_y=camera_offset_y, \
selected_stance_details=file_set.get_selected_stance_details()
)
data_set_list.append(multi_data_set)
self.options = MOptions(\
version_name=self.frame.version_name, \
logging_level=self.frame.logging_level, \
data_set_list=data_set_list, \
arm_options=MArmProcessOptions( \
self.frame.arm_panel_ctrl.arm_process_flg_avoidance.GetValue(), \
self.frame.arm_panel_ctrl.get_avoidance_target(), \
self.frame.arm_panel_ctrl.arm_process_flg_alignment.GetValue(), \
self.frame.arm_panel_ctrl.arm_alignment_finger_flg_ctrl.GetValue(), \
self.frame.arm_panel_ctrl.arm_alignment_floor_flg_ctrl.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_wrist_slider.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_finger_slider.GetValue(), \
self.frame.arm_panel_ctrl.alignment_distance_floor_slider.GetValue(), \
self.frame.arm_panel_ctrl.arm_check_skip_flg_ctrl.GetValue()
), \
camera_motion=self.frame.camera_panel_ctrl.camera_vmd_file_ctrl.data, \
camera_output_vmd_path=self.frame.camera_panel_ctrl.output_camera_vmd_file_ctrl.file_ctrl.GetPath(), \
monitor=self.frame.file_panel_ctrl.console_ctrl, \
is_file=False, \
outout_datetime=logger.outout_datetime, \
max_workers=(1 if self.is_exec_saving else min(32, os.cpu_count() + 4)))
self.result = SizingService(self.options).execute() and self.result
self.elapsed_time = time.time() - start
except Exception as e:
logger.critical("VMDサイジング処理が意図せぬエラーで終了しました。", e, decoration=MLogger.DECORATION_BOX)
finally:
try:
logger.debug("★★★result: %s, is_killed: %s", self.result, self.is_killed)
if self.is_out_log or (not self.result and not self.is_killed):
# ログパス生成
output_vmd_path = self.frame.file_panel_ctrl.file_set.output_vmd_file_ctrl.file_ctrl.GetPath()
output_log_path = re.sub(r'\.vmd$', '.log', output_vmd_path)
# 出力されたメッセージを全部出力
self.frame.file_panel_ctrl.console_ctrl.SaveFile(filename=output_log_path)
except Exception:
pass
logging.shutdown()
def blend_morph(self):
# モーションVMDディレクトリパス
pmx_dir_path = MFileUtils.get_dir_path(self.options.model.path)
# モーションVMDファイル名・拡張子
pmx_file_name, pmx_ext = os.path.splitext(
os.path.basename(self.options.model.path))
dt_now = datetime.now()
blend_fpath = "{0}\\{1}_blend_{2:%Y%m%d_%H%M%S}.vmd".format(
pmx_dir_path, pmx_file_name, dt_now)
bone_motion = VmdMotion()
# 処理対象モーフ名（文字列）
target_morphs = self.options.eye_list + self.options.eyebrow_list + self.options.lip_list + self.options.other_list
# 処理対象モーフデータ
all_morphs = []
for mk, mv in self.options.model.morphs.items():
if mv.display and mv.name in target_morphs:
all_morphs.append(mv)
bone_motion.morphs[mk] = {}
# 変化量(少ない方のの割合を多くする)
ratio_values = [self.options.inc_value * x for x in range(math.ceil(self.options.min_value / self.options.inc_value), \
math.ceil(self.options.max_value / self.options.inc_value) + 1) if self.options.min_value <= self.options.inc_value * x <= self.options.max_value]
ratio_lower_values = [self.options.inc_value * x for x in range(math.ceil(self.options.min_value / self.options.inc_value), \
math.ceil(self.options.max_value / self.options.inc_value / 2) + 1) if self.options.min_value <= self.options.inc_value * x <= self.options.max_value]
ratio_zero_values = [0 for x in range(len(all_morphs))]
# 全体の比率増減量
ratio_total_values = copy.deepcopy(ratio_values)
ratio_total_values.extend(ratio_lower_values)
ratio_total_values.extend(ratio_lower_values)
ratio_total_values.extend(ratio_zero_values)
# モーフの組合せ数
morph_comb_cnt = 1
# 変化量の組合せ数
ratio_product_cnt = 1
for n in range(len(all_morphs), 0, -1):
morph_comb_cnt *= n
ratio_product_cnt *= len(ratio_values)
morph_total_cnt = 0
if morph_comb_cnt * ratio_product_cnt <= 1000:
# モーフの組合せ
morph_comb = list(
itertools.combinations(all_morphs, len(all_morphs)))
logger.debug("morph_comb: %s", len(morph_comb))
# 変化量の直積（同じ値を許容する）
ratio_product = list(
itertools.product(ratio_values, repeat=len(all_morphs)))
logger.debug("ratio_product: %s", len(ratio_product))
# 組合せが1000以下なら組合せをそのまま出力
brend_mr_pairs_list = list(
itertools.product(morph_comb, ratio_product))
logger.debug("brend_mr_pairs_list: %s", len(brend_mr_pairs_list))
for mframe, (morphs, ratios) in enumerate(brend_mr_pairs_list):
# 上限までしか登録しない
if morph_total_cnt > 19000:
break
for morph, ratio in zip(morphs, ratios):
vmd_morph = VmdMorphFrame()
vmd_morph.fno = mframe
vmd_morph.set_name(morph.name)
vmd_morph.ratio = ratio
vmd_morph.key = True
bone_motion.morphs[morph.name][mframe] = vmd_morph
logger.test(vmd_morph)
morph_total_cnt += 1
else:
# 組合せが1000より多い場合、ランダム
for mframe in range(1000):
# 上限までしか登録しない
if morph_total_cnt > 19000:
break
for morph in all_morphs:
ratio = ratio_total_values[random.randint(
0,
len(ratio_values) - 1)]
vmd_morph = VmdMorphFrame()
vmd_morph.fno = mframe
vmd_morph.set_name(morph.name)
vmd_morph.ratio = ratio
vmd_morph.key = True
bone_motion.morphs[morph.name][mframe] = vmd_morph
logger.test(vmd_morph)
morph_total_cnt += 1
data_set = MOptionsDataSet(bone_motion, self.options.model,
self.options.model, blend_fpath, False,
False, [], None, 0, [])
VmdWriter(data_set).write()
logger.info("モーフブレンドVMD: %s",
blend_fpath,
decoration=MLogger.DECORATION_BOX)
return True
def execute(self):
logging.basicConfig(level=self.options.logging_level, format="%(message)s [%(module_name)s]")
try:
service_data_txt = "VMDサイジング処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name)
for data_set_idx, data_set in enumerate(self.options.data_set_list):
service_data_txt = "{service_data_txt}\n【No.{no}】 --------- \n".format(service_data_txt=service_data_txt, no=(data_set_idx+1)) # noqa
service_data_txt = "{service_data_txt} モーション: {motion}\n".format(service_data_txt=service_data_txt,
motion=os.path.basename(data_set.motion.path)) # noqa
service_data_txt = "{service_data_txt} 作成元モデル: {trace_model} ({model_name})\n".format(service_data_txt=service_data_txt,
trace_model=os.path.basename(data_set.org_model.path), model_name=data_set.org_model.name) # noqa
service_data_txt = "{service_data_txt} 変換先モデル: {replace_model} ({model_name})\n".format(service_data_txt=service_data_txt,
replace_model=os.path.basename(data_set.rep_model.path), model_name=data_set.rep_model.name) # noqa
service_data_txt = "{service_data_txt} カメラ作成元モデル: {trace_model} ({model_name})({offset_y})\n".format(service_data_txt=service_data_txt,
trace_model=os.path.basename(data_set.camera_org_model.path), model_name=data_set.camera_org_model.name, offset_y=data_set.camera_offset_y) # noqa
service_data_txt = "{service_data_txt} スタンス追加補正有無: {detail_stance_flg}\n".format(service_data_txt=service_data_txt,
detail_stance_flg=data_set.detail_stance_flg) # noqa
if data_set.detail_stance_flg:
# スタンス追加補正がある場合、そのリストを表示
service_data_txt = "{service_data_txt} {detail_stance_flg}\n".format(service_data_txt=service_data_txt,
detail_stance_flg=", ".join(data_set.selected_stance_details)) # noqa
service_data_txt = "{service_data_txt} 捩り分散有無: {twist_flg}\n".format(service_data_txt=service_data_txt,
twist_flg=data_set.twist_flg) # noqa
if data_set_idx in self.options.arm_options.avoidance_target_list:
service_data_txt = "{service_data_txt} 対象剛体名: {avoidance_target}\n".format(service_data_txt=service_data_txt,
avoidance_target=", ".join(self.options.arm_options.avoidance_target_list[data_set_idx])) # noqa
service_data_txt = "{service_data_txt}\n--------- \n".format(service_data_txt=service_data_txt) # noqa
if self.options.arm_options.avoidance:
service_data_txt = "{service_data_txt}剛体接触回避: {avoidance}\n".format(service_data_txt=service_data_txt,
avoidance=self.options.arm_options.avoidance) # noqa
if self.options.arm_options.alignment:
service_data_txt = "{service_data_txt}手首位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment, distance=self.options.arm_options.alignment_distance_wrist) # noqa
service_data_txt = "{service_data_txt}指位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment_finger_flg, distance=self.options.arm_options.alignment_distance_finger) # noqa
service_data_txt = "{service_data_txt}床位置合わせ: {alignment} ({distance})\n".format(service_data_txt=service_data_txt,
alignment=self.options.arm_options.alignment_floor_flg, distance=self.options.arm_options.alignment_distance_floor) # noqa
if self.options.arm_options.arm_check_skip_flg:
service_data_txt = "{service_data_txt}腕チェックスキップ: {arm_check_skip}\n".format(service_data_txt=service_data_txt,
arm_check_skip=self.options.arm_options.arm_check_skip_flg) # noqa
if self.options.camera_motion:
service_data_txt = "{service_data_txt}カメラ: {camera}\n".format(service_data_txt=service_data_txt,
camera=os.path.basename(self.options.camera_motion.path)) # noqa
service_data_txt = "{service_data_txt}------------------------".format(service_data_txt=service_data_txt) # noqa
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
for data_set_idx, data_set in enumerate(self.options.data_set_list):
# 足IKのXYZの比率
data_set.original_xz_ratio, data_set.original_y_ratio = MServiceUtils.calc_leg_ik_ratio(data_set)
# 足IKの比率再計算
self.options.calc_leg_ratio()
# 移動補正
if not MoveService(self.options).execute():
return False
# スタンス補正
if not StanceService(self.options).execute():
return False
# 剛体接触回避
if self.options.arm_options.avoidance:
if not ArmAvoidanceService(self.options).execute():
return False
# 手首位置合わせ
if self.options.arm_options.alignment:
if not ArmAlignmentService(self.options).execute():
return False
# カメラ補正
if self.options.camera_motion:
if not CameraService(self.options).execute():
return False
# モーフ置換
if not MorphService(self.options).execute():
return False
for data_set_idx, data_set in enumerate(self.options.data_set_list):
# 実行後、出力ファイル存在チェック
try:
# 出力
VmdWriter(data_set).write()
Path(data_set.output_vmd_path).resolve(True)
logger.info("【No.%s】 出力終了: %s", (data_set_idx + 1), os.path.basename(data_set.output_vmd_path), decoration=MLogger.DECORATION_BOX, title="サイジング成功")
except FileNotFoundError as fe:
logger.error("【No.%s】出力VMDファイルが正常に作成されなかったようです。\nパスを確認してください。%s\n\n%s", (data_set_idx + 1), data_set.output_vmd_path, fe.message, decoration=MLogger.DECORATION_BOX)
if self.options.camera_motion:
try:
camera_model = PmxModel()
camera_model.name = "カメラ・照明"
data_set = MOptionsDataSet(self.options.camera_motion, None, camera_model, self.options.camera_output_vmd_path, 0, 0, [], None, 0, [])
# 出力
VmdWriter(data_set).write()
Path(data_set.output_vmd_path).resolve(True)
logger.info("カメラ出力終了: %s", os.path.basename(data_set.output_vmd_path), decoration=MLogger.DECORATION_BOX, title="サイジング成功")
except FileNotFoundError as fe:
logger.error("カメラ出力VMDファイルが正常に作成されなかったようです。\nパスを確認してください。%s\n\n%s", self.options.camera_output_vmd_path, fe.message, decoration=MLogger.DECORATION_BOX)
return True
except MKilledException:
return False
except SizingException as se:
logger.error("サイジング処理が処理できないデータで終了しました。\n\n%s", se.message, decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.critical("サイジング処理が意図せぬエラーで終了しました。", e, decoration=MLogger.DECORATION_BOX)
return False
finally:
logging.shutdown()
def execute(self):
logging.basicConfig(level=self.options.logging_level,
format="%(message)s [%(module_name)s]")
try:
service_data_txt = "多段分割処理実行\n------------------------\nexeバージョン: {version_name}\n".format(version_name=self.options.version_name) \
service_data_txt = "{service_data_txt} VMD: {vmd}\n".format(
service_data_txt=service_data_txt,
vmd=os.path.basename(self.options.motion.path)) # noqa
service_data_txt = "{service_data_txt} モデル: {model}({model_name})\n".format(
service_data_txt=service_data_txt,
model=os.path.basename(self.options.motion.path),
model_name=self.options.model.name) # noqa
service_data_txt = "{service_data_txt} 不要キー削除: {center_rotation}\n".format(
service_data_txt=service_data_txt,
center_rotation=self.options.remove_unnecessary_flg) # noqa
selections = ["{0} → 回転(1): {1}, 回転(2): {2}, 回転(3): {3}, 移動(1): {4}, 移動(2): {5}, 移動(3): {6}" \
.format(bset[0], bset[1], bset[2], bset[3], bset[4], bset[5], bset[6]) for bset in self.options.target_bones]
service_data_txt = "{service_data_txt} 対象ボーン: {target_bones}\n".format(
service_data_txt=service_data_txt,
target_bones='\n'.join(selections)) # noqa
logger.info(service_data_txt, decoration=MLogger.DECORATION_BOX)
motion = self.options.motion
model = self.options.model
futures = []
with ThreadPoolExecutor(
thread_name_prefix="split",
max_workers=self.options.max_workers) as executor:
center_mx = ""
center_my = ""
center_mz = ""
for (bone_name, rrxbn, rrybn, rrzbn, rmxbn, rmybn,
rmzbn) in self.options.target_bones:
if bone_name not in model.bones or bone_name not in motion.bones:
continue
if bone_name == "センター":
center_mx = rmxbn
center_my = rmybn
center_mz = rmzbn
if bone_name == "グルーブ":
futures.append(
executor.submit(self.convert_multi_split,
bone_name, rrxbn, rrybn, rrzbn,
rmxbn, rmybn, rmzbn, center_mx,
center_my, center_mz))
else:
futures.append(
executor.submit(self.convert_multi_split,
bone_name, rrxbn, rrybn, rrzbn,
rmxbn, rmybn, rmzbn, "", "", ""))
concurrent.futures.wait(
futures,
timeout=None,
return_when=concurrent.futures.FIRST_EXCEPTION)
for f in futures:
if not f.result():
return False
if self.options.remove_unnecessary_flg:
# 不要キー削除
futures = []
with ThreadPoolExecutor(
thread_name_prefix="remove",
max_workers=self.options.max_workers) as executor:
for (bone_name, rrxbn, rrybn, rrzbn, rmxbn, rmybn,
rmzbn) in self.options.target_bones:
if model.bones[bone_name].getRotatable():
if len(rrxbn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rrxbn))
if len(rrybn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rrybn))
if len(rrzbn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rrzbn))
if model.bones[bone_name].getTranslatable():
if len(rmxbn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rmxbn))
if len(rmybn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rmybn))
if len(rmzbn) > 0:
futures.append(
executor.submit(self.remove_unnecessary_bf,
rmzbn))
concurrent.futures.wait(
futures,
timeout=None,
return_when=concurrent.futures.FIRST_EXCEPTION)
for f in futures:
if not f.result():
return False
# 最後に出力
VmdWriter(
MOptionsDataSet(self.options.motion, None, self.options.model,
self.options.output_path, False, False, [],
None, 0, [])).write()
logger.info("出力終了: %s",
os.path.basename(self.options.output_path),
decoration=MLogger.DECORATION_BOX,
title="成功")
return True
except MKilledException:
return False
except SizingException as se:
logger.error("多段分割処理が処理できないデータで終了しました。\n\n%s",
se.message,
decoration=MLogger.DECORATION_BOX)
except Exception:
logger.critical("多段分割処理が意図せぬエラーで終了しました。\n\n%s",
traceback.format_exc(),
decoration=MLogger.DECORATION_BOX)
finally:
logging.shutdown()
def convert_vmd(self):
dt_now = datetime.now()
bone_fpath = None
bone_motion = VmdMotion()
if self.options.bone_csv_path and os.path.exists(
self.options.bone_csv_path):
# ボーンモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(
self.options.bone_csv_path)
# ボーンモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(
os.path.basename(self.options.bone_csv_path))
bone_fpath = "{0}\\{1}_bone_{2:%Y%m%d_%H%M%S}.vmd".format(
motion_csv_dir_path, motion_csv_file_name, dt_now)
# ボーンCSV読み込み
with open(self.options.bone_csv_path, encoding='cp932',
mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for ridx, row in enumerate(reader):
bf = VmdBoneFrame()
rno = ridx + 1
try:
if len(row) < 0 or not row[0]:
logger.error("[ボーン] %s行目のボーン名（1列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# ボーン名
bf.set_name(row[0])
except Exception as e:
logger.error("[ボーン] %s行目のボーン名の読み取りに失敗しました\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 1 or not row[1]:
logger.error("[ボーン] %s行目のフレーム番号（2列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# フレーム
bf.fno = int(float(row[1]))
if bf.fno < 0:
logger.error("[ボーン] %s行目のフレーム番号（2列目）に負数が設定されています",
rno,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[ボーン] %s行目のフレーム番号の読み取りに失敗しました\nフレーム番号は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row
) < 4 or not row[2] or not row[3] or not row[4]:
logger.error("[ボーン] %s行目の位置（3-5列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 位置
bf.position = MVector3D(float(row[2]), float(row[3]),
float(row[4]))
except Exception as e:
logger.error(
"[ボーン] %s行目の位置の読み取りに失敗しました\n位置は半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row
) < 7 or not row[5] or not row[6] or not row[7]:
logger.error("[ボーン] %s行目の回転（6-8列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 回転
bf.rotation = MQuaternion.fromEulerAngles(
float(row[5]),
float(row[6]) * -1,
float(row[7]) * -1)
except Exception as e:
logger.error(
"[ボーン] %s行目の回転の読み取りに失敗しました\n位置は半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 71:
logger.error(
"[ボーン] %s行目の補間曲線（9-72列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
for cidx in range(8, 72):
if not row[cidx]:
logger.error("[ボーン] %s行目の補間曲線の%s番目が設定されていません",
rno,
cidx - 7,
decoration=MLogger.DECORATION_BOX)
return False
# 補間曲線(一旦floatで読み込んで指数等も読み込んだ後、intに変換)
bf.interpolation = [int(float(row[8])), int(float(row[9])), int(float(row[10])), int(float(row[11])), int(float(row[12])), int(float(row[13])), \
int(float(row[14])), int(float(row[15])), int(float(row[16])), int(float(row[17])), int(float(row[18])), int(float(row[19])), \
int(float(row[20])), int(float(row[21])), int(float(row[22])), int(float(row[23])), int(float(row[24])), int(float(row[25])), \
int(float(row[26])), int(float(row[27])), int(float(row[28])), int(float(row[29])), int(float(row[30])), int(float(row[31])), \
int(float(row[32])), int(float(row[33])), int(float(row[34])), int(float(row[35])), int(float(row[36])), int(float(row[37])), \
int(float(row[38])), int(float(row[39])), int(float(row[40])), int(float(row[41])), int(float(row[42])), int(float(row[43])), \
int(float(row[44])), int(float(row[45])), int(float(row[46])), int(float(row[47])), int(float(row[48])), int(float(row[49])), \
int(float(row[50])), int(float(row[51])), int(float(row[52])), int(float(row[53])), int(float(row[54])), int(float(row[55])), \
int(float(row[56])), int(float(row[57])), int(float(row[58])), int(float(row[59])), int(float(row[60])), int(float(row[61])), \
int(float(row[62])), int(float(row[63])), int(float(row[64])), int(float(row[65])), int(float(row[66])), int(float(row[67])), \
int(float(row[68])), int(float(row[69])), int(float(row[70])), int(float(row[71]))]
for bidx, bi in enumerate(bf.interpolation):
if 0 > bi:
logger.error(
"[ボーン] %s行目の補間曲線（%s列目）に負数が設定されています",
rno,
bidx + 9,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[ボーン] %s行目の補間曲線の読み取りに失敗しました\n位置は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
bf.read = True
bf.key = True
if bf.name not in bone_motion.bones:
bone_motion.bones[bf.name] = {}
bone_motion.bones[bf.name][bf.fno] = bf
cnt += 1
if cnt % 10000 == 0:
logger.info("[ボーン] %sキー目:終了", cnt)
if self.options.morph_csv_path and os.path.exists(
self.options.morph_csv_path):
# モーフモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(
self.options.morph_csv_path)
# モーフモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(
os.path.basename(self.options.morph_csv_path))
if not bone_fpath:
bone_fpath = "{0}\\{1}_morph_{2:%Y%m%d_%H%M%S}.vmd".format(
motion_csv_dir_path, motion_csv_file_name, dt_now)
# モーフCSV読み込み
with open(self.options.morph_csv_path, encoding='cp932',
mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for ridx, row in enumerate(reader):
mf = VmdMorphFrame()
rno = ridx + 1
try:
if len(row) < 0 or not row[0]:
logger.error("[モーフ] %s行目のモーフ名（1列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# ボーン名
mf.set_name(row[0])
except Exception as e:
logger.error("[モーフ] %s行目のモーフ名の読み取りに失敗しました\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 1 or not row[1]:
logger.error("[モーフ] %s行目のフレーム番号（2列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# フレーム
mf.fno = int(float(row[1]))
if mf.fno < 0:
logger.error("[モーフ] %s行目のフレーム番号（2列目）に負数が設定されています",
rno,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[モーフ] %s行目のフレーム番号の読み取りに失敗しました\nフレーム番号は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 2 or not row[2]:
logger.error("[モーフ] %s行目の大きさ（3列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 値
mf.ratio = float(row[2])
except Exception as e:
logger.error(
"[モーフ] %s行目の大きさの読み取りに失敗しました\n大きさは半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
if mf.name not in bone_motion.morphs:
bone_motion.morphs[mf.name] = {}
bone_motion.morphs[mf.name][mf.fno] = mf
cnt += 1
if cnt % 1000 == 0:
logger.info("[モーフ] %sキー目:終了", cnt)
if len(bone_motion.bones.keys()) > 0 or len(
bone_motion.morphs.keys()) > 0:
# ボーンかモーフのキーがある場合、まとめて出力
model = PmxModel()
model.name = "CSV Convert Model"
data_set = MOptionsDataSet(bone_motion, model, model, bone_fpath,
False, False, [], None, 0, [])
VmdWriter(data_set).write()
logger.info("ボーン・モーフモーションVMD: %s",
bone_fpath,
decoration=MLogger.DECORATION_BOX)
if self.options.camera_csv_path and os.path.exists(
self.options.camera_csv_path):
# カメラモーションCSVディレクトリパス
motion_csv_dir_path = MFileUtils.get_dir_path(
self.options.camera_csv_path)
# カメラモーションCSVファイル名・拡張子
motion_csv_file_name, _ = os.path.splitext(
os.path.basename(self.options.camera_csv_path))
camera_fpath = "{0}\\{1}_camera_{2:%Y%m%d_%H%M%S}.vmd".format(
motion_csv_dir_path, motion_csv_file_name, dt_now)
camera_motion = VmdMotion()
# カメラCSV読み込み
with open(self.options.camera_csv_path, encoding='cp932',
mode='r') as f:
reader = csv.reader(f)
next(reader) # ヘッダーを読み飛ばす
cnt = 0
for ridx, row in enumerate(reader):
cf = VmdCameraFrame()
rno = ridx + 1
try:
if len(row) < 1 or not row[0]:
logger.error("[カメラ] %s行目のフレーム番号（1列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# フレーム
cf.fno = int(row[0])
if cf.fno < 0:
logger.error("[カメラ] %s行目のフレーム番号（1列目）に負数が設定されています",
rno,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[カメラ] %s行目のフレーム番号の読み取りに失敗しました\nフレーム番号は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row
) < 3 or not row[1] or not row[2] or not row[3]:
logger.error("[カメラ] %s行目の位置（2-4列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 位置
cf.position = MVector3D(float(row[1]), float(row[2]),
float(row[3]))
except Exception as e:
logger.error(
"[カメラ] %s行目の位置の読み取りに失敗しました\n位置は半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row
) < 6 or not row[4] or not row[5] or not row[6]:
logger.error("[カメラ] %s行目の回転（5-7列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 回転（オイラー角）
cf.euler = MVector3D(float(row[4]), float(row[5]),
float(row[6]))
except Exception as e:
logger.error(
"[カメラ] %s行目の回転の読み取りに失敗しました\n回転は半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 7 or not row[7]:
logger.error("[カメラ] %s行目の距離（8列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 距離
cf.length = -(float(row[7]))
except Exception as e:
logger.error(
"[カメラ] %s行目の距離の読み取りに失敗しました\n距離は半角数字・符号・小数点のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 8 or not row[8]:
logger.error("[カメラ] %s行目の視野角（9列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# 視野角
cf.angle = int(row[8])
if cf.angle < 0:
logger.error("[カメラ] %s行目の視野角（9列目）に負数が設定されています",
rno,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[カメラ] %s行目の視野角の読み取りに失敗しました\n視野角は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 8 or not row[9]:
logger.error("[カメラ] %s行目のパース（10列目）が設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
# パース
cf.perspective = int(row[9])
if cf.perspective not in [0, 1]:
logger.error(
"[カメラ] %s行目のパース（10列目）に0, 1以外の値が設定されています",
rno,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[カメラ] %s行目のパースの読み取りに失敗しました\nパースは0, 1のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
try:
if len(row) < 33:
logger.error(
"[カメラ] %s行目の補間曲線（11-34列目）のいずれかが設定されていません",
rno,
decoration=MLogger.DECORATION_BOX)
return False
for cidx in range(10, 34):
if not row[cidx]:
logger.error("[カメラ] %s行目の補間曲線の%s番目が設定されていません",
rno,
cidx - 9,
decoration=MLogger.DECORATION_BOX)
return False
# 補間曲線(一旦floatで読み込んで指数等も読み込んだ後、intに変換)
cf.interpolation = [int(float(row[10])), int(float(row[11])), int(float(row[12])), int(float(row[13])), int(float(row[14])), int(float(row[15])), \
int(float(row[16])), int(float(row[17])), int(float(row[18])), int(float(row[19])), int(float(row[20])), int(float(row[21])), \
int(float(row[22])), int(float(row[23])), int(float(row[24])), int(float(row[25])), int(float(row[26])), int(float(row[27])), \
int(float(row[28])), int(float(row[29])), int(float(row[30])), int(float(row[31])), int(float(row[32])), int(float(row[33]))]
for cidx, ci in enumerate(cf.interpolation):
if 0 > ci:
logger.error(
"[カメラ] %s行目の補間曲線（%s列目）に負数が設定されています",
rno,
cidx + 11,
decoration=MLogger.DECORATION_BOX)
return False
except Exception as e:
logger.error(
"[カメラ] %s行目の補間曲線の読み取りに失敗しました\n位置は半角数字のみ入力可能です。\n%s",
rno,
e,
decoration=MLogger.DECORATION_BOX)
return False
camera_motion.cameras[cf.fno] = cf
cnt += 1
if cnt % 500 == 0:
logger.info("[カメラ] %sキー目:終了", cnt)
if len(camera_motion.cameras) > 0:
# ボーンかモーフのキーがある場合、まとめて出力
model = PmxModel()
model.name = "カメラ・照明"
data_set = MOptionsDataSet(camera_motion, model, model,
camera_fpath, False, False, [],
None, 0, [])
VmdWriter(data_set).write()
logger.info("カメラモーションVMD: %s",
camera_fpath,
decoration=MLogger.DECORATION_BOX)
return True
