YonghaoHe / LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
MIT License
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训练乒乓球,振荡很大 #74

Open 121649982 opened 4 years ago

121649982 commented 4 years ago

你好,训练时loss变化很大,这个正常吗?

2020-02-25 10:26:47,227[INFO]: cls_loss_score_1: --> 47.5173 2020-02-25 10:26:47,227[INFO]: reg_loss_bbox_1: --> 3581.6255 2020-02-25 10:26:47,227[INFO]: cls_loss_score_2: --> 555.4069 2020-02-25 10:26:47,227[INFO]: reg_loss_bbox_2: --> 1146.7589 2020-02-25 10:26:47,228[INFO]: cls_loss_score_3: --> 217.9907 2020-02-25 10:26:47,228[INFO]: reg_loss_bbox_3: --> 2087.8438 2020-02-25 10:26:47,228[INFO]: cls_loss_score_4: --> 1833.2731 2020-02-25 10:26:47,228[INFO]: reg_loss_bbox_4: --> 2937.1301 2020-02-25 10:26:47,228[INFO]: total loss = 10927.7227 2020-02-25 10:26:56,808[INFO]: Iter[8300] -- Time elapsed: 9.6 s. Speed: 41.8 images/s. 2020-02-25 10:26:56,808[INFO]: cls_loss_score_0: --> 56.8907 2020-02-25 10:26:56,860[INFO]: reg_loss_bbox_0: --> 3565.3206 2020-02-25 10:26:56,860[INFO]: cls_loss_score_1: --> 44.3509 2020-02-25 10:26:56,860[INFO]: reg_loss_bbox_1: --> 1188.9268 2020-02-25 10:26:56,860[INFO]: cls_loss_score_2: --> 52.6698 2020-02-25 10:26:56,860[INFO]: reg_loss_bbox_2: --> 633.9600 2020-02-25 10:26:56,860[INFO]: cls_loss_score_3: --> 321.2800 2020-02-25 10:26:56,860[INFO]: reg_loss_bbox_3: --> 3745.3579 2020-02-25 10:26:56,860[INFO]: cls_loss_score_4: --> 817.3853 2020-02-25 10:26:56,861[INFO]: reg_loss_bbox_4: --> 1543.6974 2020-02-25 10:26:56,861[INFO]: total loss = 9335.2256 2020-02-25 10:27:06,472[INFO]: Iter[8400] -- Time elapsed: 9.6 s. Speed: 41.6 images/s. 2020-02-25 10:27:06,473[INFO]: cls_loss_score_0: --> 47.5426 2020-02-25 10:27:06,519[INFO]: reg_loss_bbox_0: --> 1374.2328 2020-02-25 10:27:06,519[INFO]: cls_loss_score_1: --> 131.5045 2020-02-25 10:27:06,519[INFO]: reg_loss_bbox_1: --> 1402.3698 2020-02-25 10:27:06,519[INFO]: cls_loss_score_2: --> 45.1156 2020-02-25 10:27:06,519[INFO]: reg_loss_bbox_2: --> 1253.8846 2020-02-25 10:27:06,519[INFO]: cls_loss_score_3: --> 263.4740 2020-02-25 10:27:06,519[INFO]: reg_loss_bbox_3: --> 1571.5750 2020-02-25 10:27:06,520[INFO]: cls_loss_score_4: --> 1505.2943 2020-02-25 10:27:06,520[INFO]: reg_loss_bbox_4: --> 1666.0612 2020-02-25 10:27:06,520[INFO]: total loss = 8881.0312 2020-02-25 10:27:16,390[INFO]: Iter[8500] -- Time elapsed: 9.9 s. Speed: 40.5 images/s. 2020-02-25 10:27:16,390[INFO]: cls_loss_score_0: --> 1354.4061 2020-02-25 10:27:16,442[INFO]: reg_loss_bbox_0: --> 3272.2812 2020-02-25 10:27:16,442[INFO]: cls_loss_score_1: --> 57.2416 2020-02-25 10:27:16,442[INFO]: reg_loss_bbox_1: --> 1328.8054 2020-02-25 10:27:16,443[INFO]: cls_loss_score_2: --> 85.8663 2020-02-25 10:27:16,443[INFO]: reg_loss_bbox_2: --> 2408.4707 2020-02-25 10:27:16,443[INFO]: cls_loss_score_3: --> 670.4828 2020-02-25 10:27:16,443[INFO]: reg_loss_bbox_3: --> 1462.6251 2020-02-25 10:27:16,443[INFO]: cls_loss_score_4: --> 524.8186 2020-02-25 10:27:16,443[INFO]: reg_loss_bbox_4: --> 825.2332 2020-02-25 10:27:16,443[INFO]: total loss = 19072.2773

YonghaoHe commented 4 years ago

@121649982 这个看起来有点不正常。按照我的判断,乒乓球的检测应该很简单,很快就会收敛。比如车牌检测的收敛速度就远远快于人脸检测。