ShuLiu1993 / PANet

PANet for Instance Segmentation and Object Detection
MIT License
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train result error #29

Open zhuliqian opened 5 years ago

zhuliqian commented 5 years ago

I use dataset is myself make ,

"annotations": [{"segmentation": [[251, 198, 286, 198, 322, 198, 358, 198, 394, 198, 430, 198, 466, 198, 466, 252, 430, 252, 394, 252, 358, 252, 322, 252, 286, 252, 251, 252]], "area": 11610, "iscrowd": 0, "image_id": 1, "bbox": [251, 198, 215, 54], "category_id": 1, "id": 1}, {"segmentation": [[196, 139, 251, 119, 306, 114, 361, 107, 416, 108, 471, 121, 527, 139, 507, 201, 459, 178, 411, 165, 362, 159, 314, 163, 266, 174, 218, 198]], "area": 31114, "iscrowd": 0, "image_id": 1, "bbox": [196, 107, 331, 94], "category_id": 1, "id": 2},

detectron(caffe2) is feasible, but test result(PANet) is not good, 1200 pictures,MAX_ITER: 15000 Is it a dataset problem? 1434.pdf