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

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报错

A-biao96 opened this issue · comments

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

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