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 #220