def transform_video(inp_path, out_path, process_frame_fn, **kwargs):
util.ensure_path_exists(out_path)
with imageio.get_reader(inp_path) as reader:
fps = reader.get_meta_data()['fps']
with imageio.get_writer(out_path, fps=fps, codec='h264',
**kwargs) as writer:
for frame in util.progressbar(reader):
writer.append_data(process_frame_fn(frame))
def make_efficient_example(ex,
further_expansion_factor=1,
further_scale_up=1,
dir_suffix=''):
"""Make example by storing the image in a cropped and resized version for efficient loading"""
# Determine which area we will need from the image
# This is a bit larger than the tight crop because of the geometric augmentations
max_rotate = np.pi / 6
padding_factor = 1 / 0.85
scale_up_factor = 1 / 0.85 * further_scale_up
scale_down_factor = 1 / 0.85
shift_factor = 1.1
base_dst_side = 256
box_center = boxlib.center(ex.bbox)
s, c = np.sin(max_rotate), np.cos(max_rotate)
w, h = ex.bbox[2:]
rot_bbox_side = max(c * w + s * h, c * h + s * w)
rot_bbox = boxlib.box_around(box_center, rot_bbox_side)
scale_factor = min(base_dst_side / np.max(ex.bbox[2:]) * scale_up_factor,
1)
expansion_factor = (padding_factor * shift_factor * scale_down_factor *
further_expansion_factor)
expanded_bbox = boxlib.expand(rot_bbox, expansion_factor)
expanded_bbox = boxlib.intersect(expanded_bbox,
np.array([0, 0, 1000, 1000]))
new_camera = copy.deepcopy(ex.camera)
new_camera.intrinsic_matrix[:2, 2] -= expanded_bbox[:2]
new_camera.scale_output(scale_factor)
new_camera.undistort()
new_im_relpath = ex.image_path.replace('h36m',
f'h36m_downscaled{dir_suffix}')
new_im_path = f'{paths.DATA_ROOT}/{new_im_relpath}'
if not (util.is_file_newer(new_im_path, "2019-11-14T23:33:14")
and improc.is_image_readable(new_im_path)):
im = improc.imread_jpeg(ex.image_path)
dst_shape = improc.rounded_int_tuple(scale_factor *
expanded_bbox[[3, 2]])
new_im = cameralib.reproject_image(im, ex.camera, new_camera,
dst_shape)
util.ensure_path_exists(new_im_path)
imageio.imwrite(new_im_path, new_im)
new_bbox_topleft = cameralib.reproject_image_points(
ex.bbox[:2], ex.camera, new_camera)
new_bbox = np.concatenate([new_bbox_topleft, ex.bbox[2:] * scale_factor])
ex = ps3d.Pose3DExample(new_im_relpath,
ex.world_coords,
new_bbox,
new_camera,
activity_name=ex.activity_name)
return ex
def make_efficient_example(ex, root_muco, i_person):
image_relpath = ex.image_path
max_rotate = np.pi / 6
padding_factor = 1 / 0.85
scale_up_factor = 1 / 0.85
scale_down_factor = 1 / 0.85
shift_factor = 1.2
base_dst_side = 256
box_center = boxlib.center(ex.bbox)
s = np.sin(max_rotate)
c = np.cos(max_rotate)
rot_bbox_size = (np.array([[c, s], [s, c]]) @ ex.bbox[2:, np.newaxis])[:, 0]
side = np.max(rot_bbox_size)
rot_bbox_size = np.array([side, side])
rot_bbox = boxlib.box_around(box_center, rot_bbox_size)
scale_factor = min(base_dst_side / np.max(ex.bbox[2:]) * scale_up_factor, 1)
expansion_factor = padding_factor * shift_factor * scale_down_factor
expanded_bbox = boxlib.expand(rot_bbox, expansion_factor)
expanded_bbox = boxlib.intersect(expanded_bbox, boxlib.full_box([2048, 2048]))
new_camera = ex.camera.copy()
new_camera.intrinsic_matrix[:2, 2] -= expanded_bbox[:2]
new_camera.scale_output(scale_factor)
new_camera.undistort()
dst_shape = improc.rounded_int_tuple(scale_factor * expanded_bbox[[3, 2]])
new_im_path = f'{root_muco}_downscaled/{image_relpath[:-4]}_{i_person:01d}.jpg'
if not (util.is_file_newer(new_im_path, "2020-02-15T23:28:26")):
im = improc.imread_jpeg(f'{root_muco}/{image_relpath}')
new_im = cameralib.reproject_image(im, ex.camera, new_camera, dst_shape, antialias_factor=4)
util.ensure_path_exists(new_im_path)
imageio.imwrite(new_im_path, new_im, quality=95)
new_bbox_topleft = cameralib.reproject_image_points(ex.bbox[:2], ex.camera, new_camera)
new_bbox = np.concatenate([new_bbox_topleft, ex.bbox[2:] * scale_factor])
if ex.mask is None:
noext, ext = os.path.splitext(image_relpath[:-4])
noext = noext.replace('unaugmented_set_001/', '')
mask = improc.decode_mask(util.load_pickle(f'{root_muco}/masks/{noext}.pkl'))
else:
mask = ex.mask
if mask is False:
new_mask_encoded = None
else:
new_mask = cameralib.reproject_image(mask, ex.camera, new_camera, dst_shape)
new_mask_encoded = improc.encode_mask(new_mask)
return p3ds.Pose3DExample(
os.path.relpath(new_im_path, paths.DATA_ROOT), ex.world_coords.astype(np.float32),
new_bbox.astype(np.float32), new_camera, mask=new_mask_encoded,
univ_coords=ex.univ_coords.astype(np.float32))
def main():
verify_started_in_right_directory()
# to avoid problems, we build a separate source tree, just for the buildbot
src_path = os.path.join("..", "sumatrapdf_buildbot")
ensure_path_exists(src_path)
copy_secrets(src_path)
os.chdir(src_path)
get_cert_pwd() # early exit if problems
#build_version("6698", skip_release=True)
#build_index_html()
#build_sizes_json()
#build_curr()
buildbot_loop()
def download_pretrained_weights():
import urllib.request
import tarfile
logging.info(
f'Downloading ImageNet pretrained weights for {FLAGS.architecture}')
filename = f'{FLAGS.architecture}_2017_04_14.tar.gz'
target_path = f'{paths.DATA_ROOT}/pretrained/{FLAGS.architecture}_2017_04_14/{filename}'
util.ensure_path_exists(target_path)
urllib.request.urlretrieve(
f'http://download.tensorflow.org/models/{filename}', target_path)
with tarfile.open(target_path) as f:
f.extractall(
f'{paths.DATA_ROOT}/pretrained/{FLAGS.architecture}_2017_04_14')
os.remove(target_path)
def save_results(f):
ordered_indices = np.argsort(f.image_path)
util.ensure_path_exists(FLAGS.pred_path)
logging.info(f'Saving predictions to {FLAGS.pred_path}')
np.savez(
FLAGS.pred_path,
image_path=f.image_path[ordered_indices],
coords3d_true=f.coords3d_true_orig_cam[ordered_indices],
coords3d_pred=f.coords3d_pred_orig_cam[ordered_indices],
coords3d_true_world=f.coords3d_true_world[ordered_indices],
coords3d_pred_world=f.coords3d_pred_world[ordered_indices],
activity_name=f.activity_name[ordered_indices],
scene_name=f.scene_name[ordered_indices],
joint_validity_mask=f.joint_validity_mask[ordered_indices],
)
def make_efficient_example(ex, rect_id):
"""Make example by storing the image in a cropped and resized version for efficient loading"""
# Determine which area we will need
# For rotation, usual padding around box, scale (shrink) augmentation and shifting
padding_factor = 1 / 0.85
scale_up_factor = 1 / 0.85
scale_down_factor = 1 / 0.85
shift_factor = 1.1
max_rotate = np.pi / 6
rot_factor = np.sin(max_rotate) + np.cos(max_rotate)
base_dst_side = 256
scale_factor = min(base_dst_side / ex.bbox[3] * scale_up_factor, 1)
hopeful_factor = 0.9
expansion_factor = (
rot_factor * padding_factor * shift_factor * scale_down_factor * hopeful_factor)
expanded_bbox = boxlib.expand(boxlib.expand_to_square(ex.bbox), expansion_factor)
imsize = improc.image_extents(ex.image_path)
full_box = np.array([0, 0, imsize[0], imsize[1]])
expanded_bbox = boxlib.intersect(expanded_bbox, full_box)
old_camera = cameralib.Camera.create2D()
new_camera = old_camera.copy()
new_camera.shift_image(-expanded_bbox[:2])
new_camera.scale_output(scale_factor)
dst_shape = improc.rounded_int_tuple(scale_factor * expanded_bbox[[3, 2]])
new_im_path = ex.image_path.replace('mpii', f'mpii_downscaled')
without_ext, ext = os.path.splitext(new_im_path)
new_im_path = f'{without_ext}_{rect_id:02d}{ext}'
if not (util.is_file_newer(new_im_path, "2019-11-12T17:54:06") and
improc.is_image_readable(new_im_path)):
im = improc.imread_jpeg(ex.image_path)
new_im = cameralib.reproject_image(im, old_camera, new_camera, dst_shape)
util.ensure_path_exists(new_im_path)
imageio.imwrite(new_im_path, new_im)
new_bbox_topleft = cameralib.reproject_image_points(ex.bbox[:2], old_camera, new_camera)
new_bbox = np.concatenate([new_bbox_topleft, ex.bbox[2:] * scale_factor])
new_coords = cameralib.reproject_image_points(ex.coords, old_camera, new_camera)
ex = Pose2DExample(os.path.relpath(new_im_path, paths.DATA_ROOT), new_coords, bbox=new_bbox)
return ex
def save_results(f):
default_path = f'results_{util.timestamp()}.npz'
result_path = FLAGS.result_path if FLAGS.result_path else default_path
if not os.path.isabs(result_path):
result_path = os.path.join(FLAGS.logdir, result_path)
ordered_indices = np.argsort(f.image_path)
util.ensure_path_exists(result_path)
logging.info(f'Saving results to {result_path}')
np.savez(
result_path,
image_path=f.image_path[ordered_indices],
coords3d_true=f.coords3d_true_orig_cam[ordered_indices],
coords3d_pred=f.coords3d_pred_orig_cam[ordered_indices],
coords3d_true_world=f.coords3d_true_world[ordered_indices],
coords3d_pred_world=f.coords3d_pred_world[ordered_indices],
activity_name=f.activity_name[ordered_indices],
scene_name=f.scene_name[ordered_indices],
joint_validity_mask=f.joint_validity_mask[ordered_indices],
)
def main():
global upload
if len(args) != 0:
usage()
verify_started_in_right_directory()
if build_prerelease:
if svn_revision is None:
run_cmd_throw("svn", "update")
(out, err) = run_cmd_throw("svn", "info")
ver = str(parse_svninfo_out(out))
else:
# allow to pass in an SVN revision, in case SVN itself isn't available
ver = svn_revision
else:
ver = extract_sumatra_version(os.path.join("src", "Version.h"))
log("Version: '%s'" % ver)
filename_base = "SumatraPDF-%s" % ver
if build_prerelease:
filename_base = "SumatraPDF-prerelease-%s" % ver
s3_dir = "sumatrapdf/rel"
if build_prerelease:
s3_dir = "sumatrapdf/prerel"
if upload_tmp:
upload = True
s3_dir += "tmp"
if upload:
log("Will upload to s3 at %s" % s3_dir)
s3_prefix = "%s/%s" % (s3_dir, filename_base)
s3_exe = s3_prefix + ".exe"
s3_installer = s3_prefix + "-install.exe"
s3_pdb_zip = s3_prefix + ".pdb.zip"
s3_exe_zip = s3_prefix + ".zip"
s3_files = [s3_exe, s3_installer, s3_pdb_zip]
if not build_prerelease:
s3_files.append(s3_exe_zip)
cert_pwd = None
cert_path = os.path.join("scripts", "cert.pfx")
if upload:
map(ensure_s3_doesnt_exist, s3_files)
if not os.path.exists(os.path.join("scripts", "cert.pfx")):
print("scripts/cert.pfx missing")
sys.exit(1)
import awscreds
cert_pwd = awscreds.certpwd
obj_dir = "obj-rel"
if target_platform == "X64":
obj_dir += "64"
if not testing and not build_test_installer and not build_rel_installer:
shutil.rmtree(obj_dir, ignore_errors=True)
shutil.rmtree(os.path.join("mupdf", "generated"), ignore_errors=True)
config = "CFG=rel"
if build_test_installer and not build_prerelease:
obj_dir = "obj-dbg"
config = "CFG=dbg"
extcflags = ""
if build_prerelease:
extcflags = "EXTCFLAGS=-DSVN_PRE_RELEASE_VER=%s" % ver
platform = "PLATFORM=%s" % (target_platform or "X86")
run_cmd_throw("nmake", "-f", "makefile.msvc", config, extcflags, platform, "all_sumatrapdf")
exe = os.path.join(obj_dir, "SumatraPDF.exe")
if upload:
sign(exe, cert_pwd)
sign(os.path.join(obj_dir, "uninstall.exe"), cert_pwd)
build_installer_data(obj_dir)
run_cmd_throw("nmake", "-f", "makefile.msvc", "Installer", config, platform, extcflags)
if build_test_installer or build_rel_installer:
sys.exit(0)
installer = os.path.join(obj_dir, "Installer.exe")
if upload:
sign(installer, cert_pwd)
pdb_zip = os.path.join(obj_dir, "%s.pdb.zip" % filename_base)
zip_file(pdb_zip, os.path.join(obj_dir, "libmupdf.pdb"))
zip_file(pdb_zip, os.path.join(obj_dir, "Installer.pdb"), append=True)
zip_file(pdb_zip, os.path.join(obj_dir, "SumatraPDF-no-MuPDF.pdb"), append=True)
zip_file(pdb_zip, os.path.join(obj_dir, "SumatraPDF.pdb"), append=True)
builds_dir = os.path.join("builds", ver)
if os.path.exists(builds_dir):
shutil.rmtree(builds_dir)
os.makedirs(builds_dir)
copy_to_dst_dir(exe, builds_dir)
copy_to_dst_dir(installer, builds_dir)
copy_to_dst_dir(pdb_zip, builds_dir)
if not build_prerelease:
exe_zip = os.path.join(obj_dir, "%s.zip" % filename_base)
zip_file(exe_zip, exe, "SumatraPDF.exe", compress=True)
ensure_path_exists(exe_zip)
copy_to_dst_dir(exe_zip, builds_dir)
if not upload: return
if build_prerelease:
jstxt = 'var sumLatestVer = %s;\n' % ver
jstxt += 'var sumBuiltOn = "%s";\n' % time.strftime("%Y-%m-%d")
jstxt += 'var sumLatestName = "%s";\n' % s3_exe.split("/")[-1]
jstxt += 'var sumLatestExe = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_exe
jstxt += 'var sumLatestPdb = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_pdb_zip
jstxt += 'var sumLatestInstaller = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_installer
s3UploadFilePublic(installer, s3_installer)
s3UploadFilePublic(pdb_zip, s3_pdb_zip)
s3UploadFilePublic(exe, s3_exe)
if build_prerelease:
s3UploadDataPublic(jstxt, "sumatrapdf/sumatralatest.js")
txt = "%s\n" % ver
s3UploadDataPublic(txt, "sumatrapdf/sumpdf-prerelease-latest.txt")
deleteOldPreReleaseBuilds()
else:
s3UploadFilePublic(exe_zip, s3_exe_zip)
def make_efficient_example(ex,
new_image_path,
further_expansion_factor=1,
image_adjustments_3dhp=False,
min_time=None):
"""Make example by storing the image in a cropped and resized version for efficient loading"""
is3d = hasattr(ex, 'world_coords')
w, h = (improc.image_extents(util.ensure_absolute_path(ex.image_path))
if isinstance(ex.image_path, str) else
(ex.image_path.shape[1], ex.image_path.shape[0]))
full_box = boxlib.full_box(imsize=[w, h])
if is3d:
old_camera = ex.camera
new_camera = ex.camera.copy()
new_camera.turn_towards(target_image_point=boxlib.center(ex.bbox))
new_camera.undistort()
else:
old_camera = cameralib.Camera.create2D()
new_camera = old_camera.copy()
reprojected_box = reproject_box(ex.bbox,
old_camera,
new_camera,
method='side_midpoints')
reprojected_full_box = reproject_box(full_box,
old_camera,
new_camera,
method='corners')
expanded_bbox = (get_expanded_crop_box(
reprojected_box, reprojected_full_box, further_expansion_factor)
if further_expansion_factor > 0 else reprojected_box)
scale_factor = min(1.2, 256 / np.max(reprojected_box[2:]) * 1.5)
new_camera.shift_image(-expanded_bbox[:2])
new_camera.scale_output(scale_factor)
reprojected_box = reproject_box(ex.bbox,
old_camera,
new_camera,
method='side_midpoints')
dst_shape = improc.rounded_int_tuple(scale_factor * expanded_bbox[[3, 2]])
new_image_abspath = util.ensure_absolute_path(new_image_path)
if not (util.is_file_newer(new_image_abspath, min_time)
and improc.is_image_readable(new_image_abspath)):
im = improc.imread_jpeg(ex.image_path) if isinstance(
ex.image_path, str) else ex.image_path
#host_im, cuda_im = get_memory(im.shape)
im = np.power((im.astype(np.float32) / 255), 2.2)
#cuda_im.upload(host_im)
new_im = cameralib.reproject_image(im,
old_camera,
new_camera,
dst_shape,
antialias_factor=2,
interp=cv2.INTER_CUBIC)
new_im = np.clip(new_im, 0, 1)
if image_adjustments_3dhp:
# enhance the 3dhp images to reduce the green tint and increase brightness
new_im = (new_im**(1 / 2.2 * 0.67) * 255).astype(np.uint8)
new_im = improc.white_balance(new_im, 110, 145)
else:
new_im = (new_im**(1 / 2.2) * 255).astype(np.uint8)
util.ensure_path_exists(new_image_abspath)
imageio.imwrite(new_image_abspath, new_im, quality=95)
assert improc.is_image_readable(new_image_abspath)
new_ex = copy.deepcopy(ex)
new_ex.bbox = reprojected_box
new_ex.image_path = new_image_path
if is3d:
new_ex.camera = new_camera
else:
new_ex.coords = cameralib.reproject_image_points(
new_ex.coords, old_camera, new_camera)
if hasattr(ex, 'mask') and ex.mask is not None:
if isinstance(ex.mask, str):
mask = improc.imread_jpeg(util.ensure_absolute_path(ex.mask))
host_mask, cuda_mask = get_memory(mask.shape)
np.divide(mask.astype(np.float32), 255, out=host_mask)
cuda_mask.upload(host_mask)
mask_reproj = cameralib.reproject_image(
cuda_mask,
ex.camera,
new_camera,
dst_shape,
antialias_factor=2).download()
mask_reproj = 255 * (mask_reproj[..., 0] > 32 / 255).astype(
np.uint8)
new_ex.mask = get_connected_component_with_highest_iou(
mask_reproj, reprojected_box)
else:
new_ex.mask = ex.mask
return new_ex
def make_efficient_example(ex):
image_relpath = ex.image_path
max_rotate = np.pi / 6
padding_factor = 1 / 0.85
scale_up_factor = 1 / 0.85
scale_down_factor = 1 / 0.85
shift_factor = 1.2
base_dst_side = 256
box_center = boxlib.center(ex.bbox)
s, c = np.sin(max_rotate), np.cos(max_rotate)
w, h = ex.bbox[2:]
rot_bbox_side = max(c * w + s * h, c * h + s * w)
rot_bbox = boxlib.box_around(box_center, rot_bbox_side)
scale_factor = min(base_dst_side / np.max(ex.bbox[2:]) * scale_up_factor,
1)
expansion_factor = padding_factor * shift_factor * scale_down_factor
expanded_bbox = boxlib.expand(rot_bbox, expansion_factor)
expanded_bbox = boxlib.intersect(expanded_bbox,
np.array([0, 0, 2048, 2048]))
new_camera = ex.camera.copy()
new_camera.intrinsic_matrix[:2, 2] -= expanded_bbox[:2]
new_camera.scale_output(scale_factor)
new_camera.undistort()
dst_shape = improc.rounded_int_tuple(scale_factor * expanded_bbox[[3, 2]])
new_im_relpath = ex.image_path.replace('3dhp', f'3dhp_downscaled')
new_im_path = os.path.join(paths.DATA_ROOT, new_im_relpath)
if not (util.is_file_newer(new_im_path, "2019-11-14T23:32:07")
and improc.is_image_readable(new_im_path)):
im = improc.imread_jpeg(f'{paths.DATA_ROOT}/{image_relpath}')
new_im = cameralib.reproject_image(im, ex.camera, new_camera,
dst_shape)
util.ensure_path_exists(new_im_path)
imageio.imwrite(new_im_path, new_im)
new_bbox_topleft = cameralib.reproject_image_points(
ex.bbox[:2], ex.camera, new_camera)
new_bbox = np.concatenate([new_bbox_topleft, ex.bbox[2:] * scale_factor])
mask_rle_relpath = new_im_path.replace('Images', 'FGmaskImages').replace(
'.jpg', '.pkl')
mask_rle_path = os.path.join(paths.DATA_ROOT, mask_rle_relpath)
if util.is_file_newer(mask_rle_path, "2020-03-11T20:46:46"):
mask_runlength = util.load_pickle(mask_rle_path)
else:
mask_relpath = ex.image_path.replace('Images', 'FGmaskImages').replace(
'.jpg', '.png')
mask = imageio.imread(os.path.join(paths.DATA_ROOT, mask_relpath))
mask_reproj = cameralib.reproject_image(mask, ex.camera, new_camera,
dst_shape)
mask_runlength = get_mask_with_highest_iou(mask_reproj, new_bbox)
util.dump_pickle(mask_runlength, mask_rle_path)
return p3ds.Pose3DExample(new_im_relpath,
ex.world_coords,
new_bbox,
new_camera,
mask=mask_runlength,
univ_coords=ex.univ_coords)
def main():
global upload
if len(args) != 0:
usage()
verify_started_in_right_directory()
if build_prerelease:
if svn_revision is None:
run_cmd_throw("svn", "update")
(out, err) = run_cmd_throw("svn", "info")
ver = str(parse_svninfo_out(out))
else:
# allow to pass in an SVN revision, in case SVN itself isn't available
ver = svn_revision
else:
ver = extract_sumatra_version(os.path.join("src", "Version.h"))
log("Version: '%s'" % ver)
filename_base = "SumatraPDF-%s" % ver
if build_prerelease:
filename_base = "SumatraPDF-prerelease-%s" % ver
s3_dir = "sumatrapdf/rel"
if build_prerelease:
s3_dir = "sumatrapdf/prerel"
if upload_tmp:
upload = True
s3_dir += "tmp"
if upload:
log("Will upload to s3 at %s" % s3_dir)
s3_prefix = "%s/%s" % (s3_dir, filename_base)
s3_exe = s3_prefix + ".exe"
s3_installer = s3_prefix + "-install.exe"
s3_pdb_zip = s3_prefix + ".pdb.zip"
s3_exe_zip = s3_prefix + ".zip"
s3_files = [s3_exe, s3_installer, s3_pdb_zip]
if not build_prerelease:
s3_files.append(s3_exe_zip)
cert_pwd = None
cert_path = os.path.join("scripts", "cert.pfx")
if upload:
map(ensure_s3_doesnt_exist, s3_files)
if not os.path.exists(os.path.join("scripts", "cert.pfx")):
print("scripts/cert.pfx missing")
sys.exit(1)
import awscreds
cert_pwd = awscreds.certpwd
obj_dir = "obj-rel"
if target_platform == "X64":
obj_dir += "64"
if not testing and not build_test_installer and not build_rel_installer:
shutil.rmtree(obj_dir, ignore_errors=True)
config = "CFG=rel"
if build_test_installer and not build_prerelease:
obj_dir = "obj-dbg"
config = "CFG=dbg"
extcflags = ""
if build_prerelease:
extcflags = "EXTCFLAGS=-DSVN_PRE_RELEASE_VER=%s" % ver
platform = "PLATFORM=%s" % (target_platform or "X86")
run_cmd_throw("nmake", "-f", "makefile.msvc", config, extcflags, platform,
"all_sumatrapdf")
exe = os.path.join(obj_dir, "SumatraPDF.exe")
if upload:
sign(exe, cert_pwd)
sign(os.path.join(obj_dir, "uninstall.exe"), cert_pwd)
build_installer_data(obj_dir)
run_cmd_throw("nmake", "-f", "makefile.msvc", "Installer", config,
platform, extcflags)
if build_test_installer or build_rel_installer:
sys.exit(0)
installer = os.path.join(obj_dir, "Installer.exe")
if upload:
sign(installer, cert_pwd)
pdb_zip = os.path.join(obj_dir, "%s.pdb.zip" % filename_base)
zip_file(pdb_zip, os.path.join(obj_dir, "libmupdf.pdb"))
zip_file(pdb_zip, os.path.join(obj_dir, "Installer.pdb"), append=True)
zip_file(pdb_zip,
os.path.join(obj_dir, "SumatraPDF-no-MuPDF.pdb"),
append=True)
zip_file(pdb_zip, os.path.join(obj_dir, "SumatraPDF.pdb"), append=True)
builds_dir = os.path.join("builds", ver)
if os.path.exists(builds_dir):
shutil.rmtree(builds_dir)
os.makedirs(builds_dir)
copy_to_dst_dir(exe, builds_dir)
copy_to_dst_dir(installer, builds_dir)
copy_to_dst_dir(pdb_zip, builds_dir)
if not build_prerelease:
exe_zip = os.path.join(obj_dir, "%s.zip" % filename_base)
zip_file(exe_zip, exe, "SumatraPDF.exe", compress=True)
ensure_path_exists(exe_zip)
copy_to_dst_dir(exe_zip, builds_dir)
if not upload: return
if build_prerelease:
jstxt = 'var sumLatestVer = %s;\n' % ver
jstxt += 'var sumBuiltOn = "%s";\n' % time.strftime("%Y-%m-%d")
jstxt += 'var sumLatestName = "%s";\n' % s3_exe.split("/")[-1]
jstxt += 'var sumLatestExe = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_exe
jstxt += 'var sumLatestPdb = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_pdb_zip
jstxt += 'var sumLatestInstaller = "http://kjkpub.s3.amazonaws.com/%s";\n' % s3_installer
s3UploadFilePublic(installer, s3_installer)
s3UploadFilePublic(pdb_zip, s3_pdb_zip)
s3UploadFilePublic(exe, s3_exe)
if build_prerelease:
s3UploadDataPublic(jstxt, "sumatrapdf/sumatralatest.js")
txt = "%s\n" % ver
s3UploadDataPublic(txt, "sumatrapdf/sumpdf-prerelease-latest.txt")
deleteOldPreReleaseBuilds()
else:
s3UploadFilePublic(exe_zip, s3_exe_zip)
def verify_build_ok(build_dir):
for f in build_files:
p = os.path.join(build_dir, f)
ensure_path_exists(p)
pdb = os.path.splitext(p)[0] + ".pdb"
ensure_path_exists(pdb)
