Open wmjlincy opened 1 year ago
My inference code is: python train_net.py --eval-only --num-gpus 1 --config configs/Faster-RCNN/coco-standard/faster_rcnn_R_50_FPN_ut2_sup10_run0.yaml SOLVER.IMG_PER_BATCH_LABEL 16 SOLVER.IMG_PER_BATCH_UNLABEL 16 MODEL.WEIGHTS ./output/model_final.pth
but my output result is below, but during training, inference is normal, Can you tell me how to fix it?
[02/23 15:24:42 d2.engine.defaults]: Evaluation results for coco_2017_val in csv format: [02/23 15:24:42 d2.evaluation.testing]: copypaste: Task: bbox [02/23 15:24:42 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl [02/23 15:24:42 d2.evaluation.testing]: copypaste: 0.0001,0.0003,0.0000,0.0000,0.0000,0.0007
have able to fix it ? i'm facing the same issue
My inference code is: python train_net.py --eval-only --num-gpus 1 --config configs/Faster-RCNN/coco-standard/faster_rcnn_R_50_FPN_ut2_sup10_run0.yaml SOLVER.IMG_PER_BATCH_LABEL 16 SOLVER.IMG_PER_BATCH_UNLABEL 16 MODEL.WEIGHTS ./output/model_final.pth
but my output result is below, but during training, inference is normal, Can you tell me how to fix it?
[02/23 15:24:42 d2.engine.defaults]: Evaluation results for coco_2017_val in csv format: [02/23 15:24:42 d2.evaluation.testing]: copypaste: Task: bbox [02/23 15:24:42 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl [02/23 15:24:42 d2.evaluation.testing]: copypaste: 0.0001,0.0003,0.0000,0.0000,0.0000,0.0007