qinggangwu / yolov7-pose_Npoint_Ncla

基于yoloV7-pose添加任意个关键点和检测目标多分类
Other
112 stars 17 forks source link

报错 #2

Open A-biao96 opened 2 years ago

A-biao96 commented 2 years ago

File "E:\pycharm\yoov7-Npoints\utils\datasets_Npoint.py", line 64, in create_dataloader dataset = LoadImagesAndLabels(path, imgsz, batch_size, File "E:\pycharm\yoov7-Npoints\utils\datasets_Npoint.py", line 423, in init labels, shapes, self.segments = zip(*cache.values()) ValueError: not enough values to unpack (expected 3, got 0) train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_1.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_2.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_3.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_4.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_5.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_6.jpg: labels require 39 columns each after removing occlusion paramater train: WARNING: Ignoring corrupted image and/or label E:\pycharm\yoov7-Npoints\coco_kpts_128\images\train2017\cbcs_dxl_7.jpg: labels require 39 columns each after removing occlusion paramater

252-pig commented 1 year ago

+1