def crop_rect(mat, cx_norm, cy_norm, w_norm, h_norm, crop_size):
img_h0, img_w0 = image_helper.image_h_w(mat)
cx0 = cx_norm * img_w0
cy0 = cy_norm * img_h0
w0 = w_norm * img_w0
h0 = h_norm * img_h0
r0_x1 = int(min(max(0, cx0 - w0 * 0.5), img_w0))
r0_y1 = int(min(max(0, cy0 - h0 * 0.5), img_h0))
# r0_x2 = int(min(max(0, cx0 + w0 * 0.5), img_w0))
# r0_y2 = int(min(max(0, cy0 + h0 * 0.5), img_h0))
crop_w = crop_size[0] * 0.5
crop_h = crop_size[1] * 0.5
crop_x1 = int(min(max(0, cx0 - crop_w), img_w0))
crop_y1 = int(min(max(0, cy0 - crop_h), img_h0))
crop_x2 = int(min(max(0, cx0 + crop_w), img_w0))
crop_y2 = int(min(max(0, cy0 + crop_h), img_h0))
img = image_helper.crop(mat, [crop_y1, crop_x1, crop_y2, crop_x2])
img_h1, img_w1 = image_helper.image_h_w(img)
r1_x1 = min(max(r0_x1 - crop_x1, 0), img_w1)
r1_y1 = min(max(r0_y1 - crop_y1, 0), img_h1)
r1_x2 = min(r1_x1 + w0, img_w1)
r1_y2 = min(r1_y1 + h0, img_h1)
w = (r1_x2 - r1_x1)
h = (r1_y2 - r1_y1)
cx = r1_x1 + w * 0.5
cy = r1_y1 + h * 0.5
return img, cx / img_w1, cy / img_h1, w / img_w1, h / img_h1
def coco_separate_classes(input_dir, output_dir):
classes_fn = file_helper.path_join(input_dir, "_classes.txt")
classes = []
for line in file_helper.read_lines(classes_fn):
classes.append(line)
i = 0
ann_fn = file_helper.path_join(input_dir, "_annotations.txt")
img_fn = None
for line in file_helper.read_lines(ann_fn):
try:
items = line.split(" ")
img_fn = file_helper.path_join(input_dir, items[0])
dir_name, name, extension = file_helper.get_file_name_extension(
img_fn)
i += 1
print("{} - {}".format(i, img_fn), end=end_txt)
mat = cv2.imread(img_fn)
h, w = image_helper.image_h_w(mat)
for j in range(1, len(items)):
item = items[j]
values_str = item.split(",")
values = []
for v in values_str:
values.append(int(v))
class_name = classes[values[4]]
write_dir = file_helper.path_join(output_dir, class_name)
if not os.path.isdir(write_dir):
file_helper.create_dir(write_dir)
write_img_fn = file_helper.path_join(write_dir,
name + extension)
if not os.path.isfile(write_img_fn):
file_helper.copy_file(img_fn, write_img_fn)
x1, y1, x2, y2 = list(values[:4])
w_ = (x2 - x1)
h_ = (y2 - y1)
cx = (x1 + w_ * 0.5) / w
cy = (y1 + h_ * 0.5) / h
line = "0 {} {} {} {}".format(cx, cy, w_ / w, h_ / h)
write_lbl_fn = file_helper.path_join(write_dir, name + ".txt")
if os.path.isfile(write_lbl_fn):
file_helper.append_line(write_lbl_fn, line)
else:
file_helper.write_lines(write_lbl_fn, [line])
except Exception as e:
print('Error - file:{} msg:{}'.format(img_fn, str(e)))
def _oidv6_to_yolo(class_id, class_name, images_dir, labels_dir, yolo_dir):
for label_fn in file_helper.enumerate_files(labels_dir, recursive=False):
try:
print(label_fn, end="\r")
name = os.path.basename(label_fn)
image_fn = file_helper.path_join(images_dir,
name.replace(".txt", ".jpg"))
if os.path.isfile(image_fn):
write_image_fn = file_helper.path_join(
yolo_dir, name.replace(".txt", ".jpg"))
write_fn_txt = file_helper.path_join(yolo_dir, name)
if os.path.isfile(write_image_fn) and os.path.isfile(
write_fn_txt):
continue
mat = cv2.imread(image_fn)
h, w = image_helper.image_h_w(mat)
lines = []
for line in file_helper.read_lines(label_fn):
line = line.replace("\t", " ").replace(" ", " ").replace(
" ", " ").replace(" ", " ").replace(" ", " ")
arr0 = line.split(" ")
arr = [class_id]
x1 = float(arr0[1])
y1 = float(arr0[2])
x2 = float(arr0[3])
y2 = float(arr0[4])
arr.append((x1 + x2) * 0.5 / w)
arr.append((y1 + y2) * 0.5 / h)
arr.append((x2 - x1) / w)
arr.append((y2 - y1) / h)
line = ' '.join(str(e) for e in arr)
lines.append(line)
if len(lines) > 0:
# write_image_fn = file_helper.path_join(yolo_dir, name.replace(".txt", ".jpg"))
# cv2.imwrite(write_image_fn, mat)
file_helper.copy_file(image_fn, write_image_fn)
with contextlib.suppress(FileNotFoundError):
os.remove(write_fn_txt)
file_helper.write_lines(write_fn_txt, lines)
else:
print("nok: " + label_fn)
else:
print("no image: " + image_fn)
except Exception as e:
print('Error - file:{} msg:{}'.format(label_fn, str(e)))
print("finished: " + class_name)
def oidv6_to_yolo2(input_images_dir, input_labels_dir,
output_labels_and_images_dir, class_id):
i = 0
if not os.path.isdir(output_labels_and_images_dir):
file_helper.create_dir(output_labels_and_images_dir)
for label_fn in file_helper.enumerate_files(input_labels_dir,
recursive=False,
wildcard_pattern="*.txt"):
try:
i += 1
print("{} - {}".format(i, label_fn), end=end_txt)
dir_name, name, extension = file_helper.get_file_name_extension(
label_fn)
image_fn = file_helper.path_join(input_images_dir, name + ".jpg")
if os.path.isfile(image_fn):
mat = cv2.imread(image_fn)
h, w = image_helper.image_h_w(mat)
lines = []
for line in file_helper.read_lines(label_fn):
line = line.replace("\t", " ").replace(" ", " ").replace(
" ", " ").replace(" ", " ").replace(" ", " ")
arr0 = line.split(" ")
arr = [class_id]
x1 = float(arr0[1])
y1 = float(arr0[2])
x2 = float(arr0[3])
y2 = float(arr0[4])
arr.append((x1 + x2) * 0.5 / w)
arr.append((y1 + y2) * 0.5 / h)
arr.append((x2 - x1) / w)
arr.append((y2 - y1) / h)
line = ' '.join(str(e) for e in arr)
lines.append(line)
out_img_fn = file_helper.path_join(
output_labels_and_images_dir, name + ".jpg")
out_lbl_fn = file_helper.path_join(
output_labels_and_images_dir, name + ".txt")
if os.path.isfile(out_img_fn):
os.remove(out_img_fn)
if os.path.isfile(out_lbl_fn):
os.remove(out_lbl_fn)
file_helper.write_lines(out_lbl_fn, lines)
file_helper.copy_file(image_fn, out_img_fn)
else:
print("no image: " + image_fn)
except Exception as e:
print('Error - file:{} msg:{}'.format(label_fn, str(e)))
def oidv6_to_yolo(images_and_labels_dir, class_id):
for label_fn in file_helper.enumerate_files(images_and_labels_dir,
recursive=False,
wildcard_pattern="*.txt"):
try:
print(label_fn, end=end_txt)
name = os.path.basename(label_fn)
image_fn = file_helper.path_join(images_and_labels_dir,
name.replace(".txt", ".jpg"))
if os.path.isfile(image_fn):
mat = cv2.imread(image_fn)
h, w = image_helper.image_h_w(mat)
lines = []
for line in file_helper.read_lines(label_fn):
line = line.replace("\t", " ").replace(" ", " ").replace(
" ", " ").replace(" ", " ").replace(" ", " ")
arr0 = line.split(" ")
arr = [class_id]
x1 = float(arr0[1])
y1 = float(arr0[2])
x2 = float(arr0[3])
y2 = float(arr0[4])
arr.append((x1 + x2) * 0.5 / w)
arr.append((y1 + y2) * 0.5 / h)
arr.append((x2 - x1) / w)
arr.append((y2 - y1) / h)
line = ' '.join(str(e) for e in arr)
lines.append(line)
with contextlib.suppress(FileNotFoundError):
os.remove(label_fn)
file_helper.write_lines(label_fn, lines)
else:
print("no image: " + image_fn)
except Exception as e:
print('Error - file:{} msg:{}'.format(label_fn, str(e)))
def oidv6_to_yolo_multi(input_multi_oidv6_dir, output_yolo_dir):
if not os.path.isdir(output_yolo_dir):
file_helper.create_dir(output_yolo_dir)
output_images_dir = file_helper.path_join(output_yolo_dir, "images")
if not os.path.isdir(output_images_dir):
file_helper.create_dir(output_images_dir)
output_labels_dir = file_helper.path_join(output_yolo_dir, "labels")
if not os.path.isdir(output_labels_dir):
file_helper.create_dir(output_labels_dir)
classes = []
print("started.... oidv6_to_yolo_multi - {}".format(input_multi_oidv6_dir))
i = 0
for sub_dir in ["test", "train", "validation"]:
images_dir = file_helper.path_join(input_multi_oidv6_dir, sub_dir)
labels_dir = file_helper.path_join(images_dir, "labels")
for image_fn in file_helper.enumerate_files(images_dir,
recursive=False):
try:
dir_name, name, extension = file_helper.get_file_name_extension(
image_fn)
label_fn = file_helper.path_join(labels_dir, name + ".txt")
if not os.path.isfile(label_fn):
print("!!! File has no label: {}".format(image_fn))
else:
i += 1
print("processing {} - {}".format(str(i), image_fn),
end=" \r")
key_name = name[name.rfind("_") + 1:]
out_image_fn = file_helper.path_join(
output_yolo_dir, "images", key_name + extension)
out_label_fn_1 = file_helper.path_join(
output_yolo_dir, "images", key_name + ".txt")
out_label_fn_2 = file_helper.path_join(
output_yolo_dir, "labels", key_name + ".txt")
class_name = name[:name.rfind("_")]
if class_name not in classes:
classes.append(class_name)
print(class_name)
class_id = classes.index(class_name)
if os.path.isfile(out_image_fn) and os.path.isfile(
out_label_fn_2):
exists = False
for line in file_helper.read_lines(out_label_fn_2):
line = line.replace("\t", " ").replace(
" ", " ").replace(" ", " ").replace(
" ", " ").replace(" ", " ")
if class_id == int(line.split(" ")[0]):
exists = True
break
if exists:
continue
mat = cv2.imread(image_fn)
h, w = image_helper.image_h_w(mat)
lines = []
for line in file_helper.read_lines(label_fn):
line = line.replace("\t", " ").replace(
" ",
" ").replace(" ",
" ").replace(" ",
" ").replace(" ", " ")
arr0 = line.split(" ")
arr = [class_id]
x1 = float(arr0[1])
y1 = float(arr0[2])
x2 = float(arr0[3])
y2 = float(arr0[4])
arr.append((x1 + x2) * 0.5 / w)
arr.append((y1 + y2) * 0.5 / h)
arr.append((x2 - x1) / w)
arr.append((y2 - y1) / h)
line = ' '.join(str(e) for e in arr)
lines.append(line)
if len(lines) > 0:
cv2.imwrite(out_image_fn, mat)
# file_helper.copy_file(image_fn, out_image_fn)
# if os.path.isfile(out_label_fn_2):
# print("merged: " + out_label_fn_2)
for line in lines:
file_helper.append_line(out_label_fn_1, line)
file_helper.append_line(out_label_fn_2, line)
else:
print("nok: " + label_fn)
except Exception as e:
print('Error - file:{} msg:{}'.format(image_fn, str(e)))
classes_txt_fn = file_helper.path_join(output_yolo_dir, "classes.txt")
file_helper.write_lines(classes_txt_fn, classes)
print("finished: oidv6_to_yolo_multi")
("_truck.samp", classes.index("truck")),
("_truck_trail.samp", classes.index("lorry")),
("_van_trailer.samp", classes.index("van")),
("_cam.samp", classes.index("airplane")),
("_pkw_trail.samp", classes.index("boat"))]
def rotate(cx, cy, w, h, angle_in_degrees):
alpha = math.radians(angle_in_degrees)
w1 = w * math.cos(alpha) - h * math.sin(alpha)
h1 = w * math.sin(alpha) + h * math.cos(alpha)
return w1, h1
for fn_jpg in file_helper.enumerate_files(read_dir, wildcard_pattern="*.jpg"):
h0, w0 = image_helper.image_h_w(cv2.imread(fn_jpg))
lines = []
for suffix, class_id in suffix_class_id:
fn0 = fn_jpg.replace(".JPG", suffix)
if os.path.isfile(fn0):
for line in file_helper.read_lines(fn0):
line = line.replace("\t", " ").replace(" ", " ").replace(
" ", " ").replace(" ", " ").replace(" ", " ")
arr0 = line.split(" ")
arr = []
if len(arr0) > 0:
first_char = arr0[0][0]
if first_char not in ["#", "@"]:
arr.append(class_id)
