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Dear author, when I run this command,Create folder root/data/pseudo_labels/5shots/ and generate pseudo labels by running:
CUDA_VISIBLE_DEVICES=0 python tools/train_mt_part.py --cfg experiments/ap10k/hrnet/w32_256x192_adam_lr1e-3.yaml --animalpose --generate_pseudol --pretrained output/output_animal_hrnet5_part/model_best.pth OUTPUT_DIR test MODEL.NAME pose_hrnet_part TRAIN.BATCH_SIZE_PER_GPU 32 GPUS [0,] LABEL_PER_CLASS 5
There's been an error. My CPU usage is high and seems to be stuck
My first step of training with 5 images per species went well, but I got stuck generating false labels. Looking forward to your answer.
The text was updated successfully, but these errors were encountered:
Hi @Rzy1221, it is not stuck, it is generating pseudo labels and the process is quite slow.
Sorry, something went wrong.
Thanks for your reply! I got the result in a few longer hours.
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Dear author, when I run this command,Create folder root/data/pseudo_labels/5shots/ and generate pseudo labels by running:
CUDA_VISIBLE_DEVICES=0 python tools/train_mt_part.py --cfg experiments/ap10k/hrnet/w32_256x192_adam_lr1e-3.yaml --animalpose --generate_pseudol --pretrained output/output_animal_hrnet5_part/model_best.pth OUTPUT_DIR test MODEL.NAME pose_hrnet_part TRAIN.BATCH_SIZE_PER_GPU 32 GPUS [0,] LABEL_PER_CLASS 5
There's been an error. My CPU usage is high and seems to be stuck
My first step of training with 5 images per species went well, but I got stuck generating false labels.
Looking forward to your answer.
The text was updated successfully, but these errors were encountered: