Open white-black66 opened 1 year ago
This looks like a problem with the evaluation dataset. What dataset are you using for evaluation?
I am using my own dataset, each image frame contains multiple targets, the above question preliminarily determines that it may be a problem with JSON files, please ask me how is the JSON file of the dataset is generated? Thank you~
Thank you very much for your help, I used the code you provided to generate a JSON file, but the output is still -1, Can you give me your modified code for reference? thank you very much~
@white-black66 你好,请问你的问题后来解决了吗?我在自己的数据上使用这个模型,他的单帧模型结果正常,60% ,但多帧Map低于1%,不知道是为什么
Hello, when I do evaluation, run the following code, GPUS_PER_NODE=8 ./tools/run_dist_launch.sh $1 eval_r50 $2 configs/r50_eval_multi.sh and all the results are -1: Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] =-1.000 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = -1.000 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] =-1.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] =-1.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
Code hints please run evaluate() first,but I don't know what to do... Can you give me some advice?