Created by: sukkyusun1

i have tried to training pp yolo with my own data

here is my training result 2020-08-25 16:14:57,807-INFO: Save model to output/ppyolo/model_final. 2020-08-25 16:15:11,572-INFO: Test iter 0 2020-08-25 16:15:12,218-INFO: Test finish iter 3 2020-08-25 16:15:12,219-INFO: Total number of images: 10, inference time: 7.289463352593803 fps. 2020-08-25 16:15:12,219-INFO: Start evaluate... 2020-08-25 16:15:12,269-INFO: Accumulating evaluatation results... 2020-08-25 16:15:12,271-INFO: mAP(0.50, 11point) = 26.00 2020-08-25 16:15:12,273-INFO: Save model to output/ppyolo/best_model. 2020-08-25 16:15:17,056-INFO: Best test box ap: 25.99969811499025, in iter: 4999

when infering with test set. no object was detected.

python deploy/python/infer.py --model_dir=./output/ppyolo/ --image_file=/home/sk/PaddleDetection/dataset/voc/VOCdevkit/VOC2007/JPEGImages/7578154304132.jpg --use_gpu=True

run it and result is following ----------- Running Arguments ----------- image_file: /home/sk/PaddleDetection/dataset/voc/VOCdevkit/VOC2007/JPEGImages/7578154304132.jpg model_dir: ./output/ppyolo/ output_dir: output run_benchmark: False run_mode: fluid threshold: 0.5 use_gpu: True video_file:

----------- Model Configuration ----------- Model Arch: YOLO Use Padddle Executor: False Transform Order: --transform op: Resize --transform op: Normalize --transform op: Permute

Inference: 24.036645889282227 ms per batch image save result to: output/7578154304132.jpg