DataXujing / YOLO-V3-Tensorflow

:construction_worker: :construction_worker::construction_worker: YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型
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使用Kmeans生成先验anchors报错, 运行python train.py报错 #24

Open RAINzxy1007 opened 3 years ago

RAINzxy1007 commented 3 years ago

1.使用Kmeans生成先验anchors报错 (t1.9g) D:\Program Files\pycharm\code\Zhangxinyu_Safehat>python get_kmeans.py Traceback (most recent call last): File "get_kmeans.py", line 143, in anno_result = parse_anno(annotation_path, target_size=target_size) File "get_kmeans.py", line 101, in parse_anno img_w = int(float(s[2])) ValueError: could not convert string to float: 'Files\pycharm\code\Zhangxinyu_Safehat\data/my_data/JPEGImages/000003.jpg'

2.运行 python train.py时报错

----------- start to train -----------

0%| | 0/171 [00:00<?, ?it/s]2 021-04-13 18:10:27.341428: W C:\users\nwani_bazel_nwani\ujdkfsks\execroot\org_tensorflow\tensorflow\core\framework\op_kernel.cc:1306] Invalid argu ment: ValueError: invalid literal for int() with base 10: 'Files\pycharm\code\Zhangxinyu_Safehat\data/my_data/JPEGImages/part2_000959.jpg'

zhaoyong-li commented 3 years ago

您好,请问这个问题解决了吗