zhuyun97 / light-head-rcnn-shufflenet Goto Github PK

[epoch 3][iter 0/5011] loss: 1.3819, lr: 1.00e-03, rpn_cls: 0.0051, rpn_box: 0.0269, rcnn_cls: 0.7606, rcnn_box 0.5893
[epoch 3][iter 100/5011] loss: 2.2512, lr: 1.00e-03, rpn_cls: 0.0782, rpn_box: 0.0266, rcnn_cls: 1.0490, rcnn_box 0.8081
[epoch 3][iter 200/5011] loss: 2.3061, lr: 1.00e-03, rpn_cls: 0.0505, rpn_box: 0.0320, rcnn_cls: 1.2322, rcnn_box 1.1671
[epoch 3][iter 300/5011] loss: 2.0911, lr: 1.00e-03, rpn_cls: 0.0764, rpn_box: 0.1454, rcnn_cls: 0.8374, rcnn_box 1.1052
[epoch 3][iter 400/5011] loss: 2.0564, lr: 1.00e-03, rpn_cls: 0.0520, rpn_box: 0.0256, rcnn_cls: 0.7858, rcnn_box 0.6926
[epoch 3][iter 500/5011] loss: 2.1644, lr: 1.00e-03, rpn_cls: 0.0714, rpn_box: 0.0376, rcnn_cls: 0.8761, rcnn_box 0.7266
[epoch 3][iter 600/5011] loss: 2.1766, lr: 1.00e-03, rpn_cls: 0.0656, rpn_box: 0.0350, rcnn_cls: 0.9523, rcnn_box 0.8021
[epoch 3][iter 700/5011] loss: 2.1520, lr: 1.00e-03, rpn_cls: 0.3458, rpn_box: 0.0686, rcnn_cls: 0.9486, rcnn_box 0.9341
[epoch 3][iter 800/5011] loss: 2.1743, lr: 1.00e-03, rpn_cls: 0.0537, rpn_box: 0.0239, rcnn_cls: 1.2577, rcnn_box 1.0858
[epoch 3][iter 900/5011] loss: 2.1562, lr: 1.00e-03, rpn_cls: 0.0433, rpn_box: 0.0137, rcnn_cls: 1.1903, rcnn_box 1.2477
[epoch 3][iter 1000/5011] loss: 2.1840, lr: 1.00e-03, rpn_cls: 0.0558, rpn_box: 0.0380, rcnn_cls: 1.3224, rcnn_box 1.4388
[epoch 3][iter 1100/5011] loss: 2.1965, lr: 1.00e-03, rpn_cls: 0.1206, rpn_box: 0.2983, rcnn_cls: 0.9085, rcnn_box 1.0907
[epoch 3][iter 1200/5011] loss: 2.1887, lr: 1.00e-03, rpn_cls: 0.1352, rpn_box: 0.0679, rcnn_cls: 1.1857, rcnn_box 1.2247
[epoch 3][iter 1300/5011] loss: 2.1766, lr: 1.00e-03, rpn_cls: 0.0976, rpn_box: 0.0420, rcnn_cls: 1.1404, rcnn_box 1.2750
[epoch 3][iter 1400/5011] loss: 2.1373, lr: 1.00e-03, rpn_cls: 0.2418, rpn_box: 0.0916, rcnn_cls: 0.8097, rcnn_box 1.1091
[epoch 3][iter 1500/5011] loss: 2.2661, lr: 1.00e-03, rpn_cls: 0.1277, rpn_box: 0.0609, rcnn_cls: 1.0526, rcnn_box 0.9810
[epoch 3][iter 1600/5011] loss: 2.1243, lr: 1.00e-03, rpn_cls: 0.2560, rpn_box: 0.2175, rcnn_cls: 0.9190, rcnn_box 1.1926
[epoch 3][iter 1700/5011] loss: 2.0757, lr: 1.00e-03, rpn_cls: 0.2392, rpn_box: 0.5102, rcnn_cls: 0.9555, rcnn_box 0.6832
[epoch 3][iter 1800/5011] loss: 2.0787, lr: 1.00e-03, rpn_cls: 0.0595, rpn_box: 0.0228, rcnn_cls: 1.3150, rcnn_box 1.2089
[epoch 3][iter 1900/5011] loss: 2.2114, lr: 1.00e-03, rpn_cls: 0.0256, rpn_box: 0.0101, rcnn_cls: 1.0174, rcnn_box 0.9793
[epoch 3][iter 2000/5011] loss: 2.1303, lr: 1.00e-03, rpn_cls: 0.0548, rpn_box: 0.0103, rcnn_cls: 0.6179, rcnn_box 0.5732
[epoch 3][iter 2100/5011] loss: 2.2217, lr: 1.00e-03, rpn_cls: 0.0519, rpn_box: 0.0514, rcnn_cls: 1.1892, rcnn_box 1.2181
[epoch 3][iter 2200/5011] loss: 2.0978, lr: 1.00e-03, rpn_cls: 0.0372, rpn_box: 0.0567, rcnn_cls: 0.8132, rcnn_box 0.9480
[epoch 3][iter 2300/5011] loss: 2.2135, lr: 1.00e-03, rpn_cls: 0.0544, rpn_box: 0.0135, rcnn_cls: 1.2116, rcnn_box 1.1572
[epoch 3][iter 2400/5011] loss: 2.2422, lr: 1.00e-03, rpn_cls: 0.0202, rpn_box: 0.0178, rcnn_cls: 1.1327, rcnn_box 1.2272
[epoch 3][iter 2500/5011] loss: 2.1784, lr: 1.00e-03, rpn_cls: 0.0823, rpn_box: 0.0671, rcnn_cls: 0.9154, rcnn_box 0.7182
[epoch 3][iter 2600/5011] loss: 2.2727, lr: 1.00e-03, rpn_cls: 0.0896, rpn_box: 0.0282, rcnn_cls: 1.1468, rcnn_box 1.1557
[epoch 3][iter 2700/5011] loss: 2.1677, lr: 1.00e-03, rpn_cls: 0.1207, rpn_box: 0.2708, rcnn_cls: 1.0330, rcnn_box 1.3159

when i train the network, the loss of rpn_box and rcnn_cls never go down, do you know why?
thanks.