cv2.error: Caught error in DataLoader worker process 0.

[ycj1124]

when I run :"python tools/test.py
--cfg experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml
TEST.MODEL_FILE models/pytorch/pose_coco/pose_hrnet_w32_256x192.pth
TEST.USE_GT_BBOX False" to test on COCO val2017 dataset using model zoo's models,it occurs the error: => creating output/coco/pose_hrnet/w32_256x192_adam_lr1e-3 => creating log/coco/pose_hrnet/w32_256x192_adam_lr1e-3_2022-12-07-21-01 Namespace(cfg='experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml', dataDir='', logDir='', modelDir='', opts=['TEST.MODEL_FILE', 'models/pytorch/pose_coco/pose_hrnet_w32_256x192.pth', 'TEST.USE_GT_BBOX', 'False'], prevModelDir='') AUTO_RESUME: True CUDNN: BENCHMARK: True DETERMINISTIC: False ENABLED: True DATASET: COLOR_RGB: True DATASET: coco DATA_FORMAT: jpg FLIP: True HYBRID_JOINTS_TYPE: NUM_JOINTS_HALF_BODY: 8 PROB_HALF_BODY: 0.3 ROOT: data/coco/ ROT_FACTOR: 45 SCALE_FACTOR: 0.35 SELECT_DATA: False TEST_SET: val2017 TRAIN_SET: train2017 DATA_DIR: DEBUG: DEBUG: True SAVE_BATCH_IMAGES_GT: True SAVE_BATCH_IMAGES_PRED: True SAVE_HEATMAPS_GT: True SAVE_HEATMAPS_PRED: True GPUS: (0, 1, 2, 3) LOG_DIR: log LOSS: TOPK: 8 USE_DIFFERENT_JOINTS_WEIGHT: False USE_OHKM: False USE_TARGET_WEIGHT: True MODEL: EXTRA: FINAL_CONV_KERNEL: 1 PRETRAINED_LAYERS: ['conv1', 'bn1', 'conv2', 'bn2', 'layer1', 'transition1', 'stage2', 'transition2', 'stage3', 'transition3', 'stage4'] STAGE2: BLOCK: BASIC FUSE_METHOD: SUM NUM_BLOCKS: [4, 4] NUM_BRANCHES: 2 NUM_CHANNELS: [32, 64] NUM_MODULES: 1 STAGE3: BLOCK: BASIC FUSE_METHOD: SUM NUM_BLOCKS: [4, 4, 4] NUM_BRANCHES: 3 NUM_CHANNELS: [32, 64, 128] NUM_MODULES: 4 STAGE4: BLOCK: BASIC FUSE_METHOD: SUM NUM_BLOCKS: [4, 4, 4, 4] NUM_BRANCHES: 4 NUM_CHANNELS: [32, 64, 128, 256] NUM_MODULES: 3 HEATMAP_SIZE: [48, 64] IMAGE_SIZE: [192, 256] INIT_WEIGHTS: True NAME: pose_hrnet NUM_JOINTS: 17 PRETRAINED: models/pytorch/imagenet/hrnet_w32-36af842e.pth SIGMA: 2 TAG_PER_JOINT: True TARGET_TYPE: gaussian OUTPUT_DIR: output PIN_MEMORY: True PRINT_FREQ: 100 RANK: 0 TEST: BATCH_SIZE_PER_GPU: 32 BBOX_THRE: 1.0 COCO_BBOX_FILE: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json FLIP_TEST: True IMAGE_THRE: 0.0 IN_VIS_THRE: 0.2 MODEL_FILE: models/pytorch/pose_coco/pose_hrnet_w32_256x192.pth NMS_THRE: 1.0 OKS_THRE: 0.9 POST_PROCESS: True SHIFT_HEATMAP: True SOFT_NMS: False USE_GT_BBOX: False TRAIN: BATCH_SIZE_PER_GPU: 32 BEGIN_EPOCH: 0 CHECKPOINT: END_EPOCH: 210 GAMMA1: 0.99 GAMMA2: 0.0 LR: 0.001 LR_FACTOR: 0.1 LR_STEP: [170, 200] MOMENTUM: 0.9 NESTEROV: False OPTIMIZER: adam RESUME: False SHUFFLE: True WD: 0.0001 WORKERS: 24 => loading model from models/pytorch/pose_coco/pose_hrnet_w32_256x192.pth loading annotations into memory... Done (t=0.15s) creating index... index created! => classes: ['background', 'person'] => num_images: 5000 => Total boxes: 104125 => Total boxes after fliter low [email protected]: 104125 => load 104125 samples Traceback (most recent call last): File "tools/test.py", line 130, in main() File "tools/test.py", line 125, in main validate(cfg, valid_loader, valid_dataset, model, criterion, File "/home/ycj/deep-high-resolution-net.pytorch-master/tools/../lib/core/function.py", line 118, in validate for i, (input, target, target_weight, meta) in enumerate(val_loader): File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 435, in next data = self._next_data() File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1085, in _next_data return self._process_data(data) File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1111, in _process_data data.reraise() File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/_utils.py", line 428, in reraise raise self.exc_type(msg) cv2.error: Caught error in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop data = fetcher.fetch(index) File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/ycj/anaconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/ycj/deep-high-resolution-net.pytorch-master/tools/../lib/dataset/JointsDataset.py", line 131, in getitem data_numpy = cv2.cvtColor(data_numpy, cv2.COLOR_BGR2RGB) cv2.error: OpenCV(4.5.1) /tmp/pip-req-build-jr1ur_cf/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'

can you give some advice? thank you!

[inever789]

Hello, have you solved this problem? I had a similar problem, thank you very much.

[Yefkghcs]

The same problem with https://github.com/leoxiaobin/deep-high-resolution-net.pytorch/issues/220