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# Script to convert yolo annotations to voc format
# GIST: https://gist.githubusercontent.com/goodhamgupta/7ca514458d24af980669b8b1c8bcdafd/raw/3c63a7a1fa3840410bbe0da4034ca9d8604be4ca/yolo_to_voc.py
# Sample format
# <annotation>
# <folder>_image_fashion</folder>
# <filename>brooke-cagle-39574.jpg</filename>
# <size>
# <width>1200</width>
# <height>800</height>
# <depth>3</depth>
# </size>
# <segmented>0</segmented>
# <object>
# <name>head</name>
# <pose>Unspecified</pose>
# <truncated>0</truncated>
# <difficult>0</difficult>
# <bndbox>
# <xmin>549</xmin>
# <ymin>251</ymin>
# <xmax>625</xmax>
# <ymax>335</ymax>
# </bndbox>
# </object>
# <annotation>
import os
import xml.etree.cElementTree as ET
from PIL import Image
ANNOTATIONS_DIR_PREFIX = "/Users/asj/workspace/private/OpenLabeling/main/output/YOLO_darknet/Movie on 16-02-2019 at 14.46_mov"
IMAGES_DIR_PREFIX = "/Users/asj/workspace/private/OpenLabeling/main/input/Movie on 16-02-2019 at 14.46_mov"
DESTINATION_DIR = "/Users/asj/workspace/private/OpenLabeling/main/output/PASCAL_VOC/Movie on 16-02-2019 at 14.46_mov"
CLASS_MAPPING = {
'0': 'ball',
'1': 'player',
'2': 'field_center'
}
def create_root(file_prefix, width, height):
root = ET.Element("annotations")
ET.SubElement(root, "filename").text = "{}.jpg".format(file_prefix)
ET.SubElement(root, "folder").text = "images"
size = ET.SubElement(root, "size")
ET.SubElement(size, "width").text = str(width)
ET.SubElement(size, "height").text = str(height)
ET.SubElement(size, "depth").text = "3"
return root
def create_object_annotation(root, voc_labels):
for voc_label in voc_labels:
obj = ET.SubElement(root, "object")
ET.SubElement(obj, "name").text = voc_label[0]
ET.SubElement(obj, "pose").text = "Unspecified"
ET.SubElement(obj, "truncated").text = str(0)
ET.SubElement(obj, "difficult").text = str(0)
bbox = ET.SubElement(obj, "bndbox")
ET.SubElement(bbox, "xmin").text = str(int(voc_label[1]))
ET.SubElement(bbox, "ymin").text = str(int(voc_label[2]))
ET.SubElement(bbox, "xmax").text = str(int(voc_label[3]))
ET.SubElement(bbox, "ymax").text = str(int(voc_label[4]))
return root
def create_file(file_prefix, width, height, voc_labels):
root = create_root(file_prefix, width, height)
root = create_object_annotation(root, voc_labels)
tree = ET.ElementTree(root)
tree.write("{}/{}.xml".format(DESTINATION_DIR, file_prefix))
def read_file(file_path):
file_prefix = file_path.split(".txt")[0]
image_file_name = "{}.jpg".format(file_prefix)
img = Image.open("{}/{}".format(IMAGES_DIR_PREFIX, image_file_name))
w, h = img.size
with open(ANNOTATIONS_DIR_PREFIX + "/" + file_path, 'r') as file:
lines = file.readlines()
voc_labels = []
for line in lines:
voc = []
line = line.strip()
data = line.split()
voc.append(CLASS_MAPPING.get(data[0]))
bbox_width = int(float(data[3]) * w)
bbox_height = int(float(data[4]) * h)
center_x = int(float(data[1]) * w)
center_y = int(float(data[2]) * h)
voc.append(center_x - (bbox_width / 2))
voc.append(center_y - (bbox_height / 2))
voc.append(center_x + (bbox_width / 2))
voc.append(center_y + (bbox_height / 2))
voc_labels.append(voc)
create_file(file_prefix, w, h, voc_labels)
print("Processing complete for file: {}".format(file_path))
def start():
if not os.path.exists(DESTINATION_DIR):
os.makedirs(DESTINATION_DIR)
for filename in os.listdir(ANNOTATIONS_DIR_PREFIX):
if filename.endswith('txt'):
read_file(filename)
else:
print("Skipping file: {}".format(filename))
if __name__ == "__main__":
start()
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