有一个疑问,我在使用此代码时会正常运行
但是在
并没有出现我想写进去的代码,求各位解答
def convert(size, box, kp):
box[0] = round((box[0] + box[2] / 2.0) / (size[0]), 6)
box[1] = round((box[1] + box[3] / 2.0) / (size[1]), 6)
box[2] = round((box[2]) / (size[0]), 6)
box[3] = round((box[3]) / (size[1]), 6)
kp[0::3] = list(map(lambda x: round(x / (size[0]), 6), kp[0::3]))
kp[1::3] = list(map(lambda x: round(x / size[1], 6), kp[1::3]))
lr = ' '.join(str(i) for i in (box + kp))
return lr
import os
import json
from tqdm import tqdm
import argparse
parser = argparse.ArgumentParser()
# 这里根据自己的json文件位置,换成自己的就行
parser.add_argument('--json_path',
default='/home/meng/Desktop/wjl-project/yolov5_pose-main/datasets/airport4_2/coco/coco/annotations/keypoints_val.json', type=str,
help="input: coco format(json)")
# 这里设置.txt文件保存位置
parser.add_argument('--save_path', default='/home/meng/Desktop//home/meng/Desktop/wjl-project/yolov5_pose-main/datasets/airport4_2/txt', type=str,
help="specify where to save the output dir of labels")
arg = parser.parse_args()
if __name__ == '__main__':
json_file = arg.json_path # COCO Object Instance 类型的标注
ana_txt_save_path = arg.save_path # 保存的路径
data = json.load(open(json_file, 'r'))
if not os.path.exists(ana_txt_save_path):
os.makedirs(ana_txt_save_path)
id_map = {} # coco数据集的id不连续!重新映射一下再输出!
with open(os.path.join(ana_txt_save_path, 'classes.txt'), 'w') as f:
# 写入classes.txt
for i, category in enumerate(data['categories']):
f.write(f"{category['name']}\n")
id_map[category['id']] = i
print(id_map)
# 这里需要根据自己的需要,更改写入图像相对路径的文件位置。
list_file = open(os.path.join(ana_txt_save_path, 'val2017.txt'), 'w')
for img in tqdm(data['images']):
filename = img["file_name"]
img_width = img["width"]
img_height = img["height"]
img_id = img["id"]
head, tail = os.path.splitext(filename)
ana_txt_name = head + ".txt" # 对应的txt名字,与jpg一致
f_txt = open(os.path.join(ana_txt_save_path, ana_txt_name), 'w')
for ann in data['annotations']:
if ann['image_id'] == img_id:
l = convert((img_width, img_height), ann["bbox"], ann['keypoints'])
# f_txt.write("%s %s %s %s %s\n" % (id_map[ann["category_id"]], box[0], box[1], box[2], box[3]))
f_txt.write("%s %s \n" % (id_map[ann["category_id"]], l))
f_txt.close()
# 将图片的相对路径写入train2017或val2017的路径
list_file.write('./coco/coco/val/%s.jpg\n' % (head))
list_file.close()