WHAT THE FUCK OF THE M2DET!!!!!

[WIKI2020]

I SET m2det512_vgg : train_cfg = dict( cuda = True, warmup = 5, per_batch_size = 32, lr = [0.004, 0.002, 0.0004, 0.00004, 0.000004], gamma = 0.1, end_lr = 1e-6, step_lr = dict( COCO = [50, 100, 150, 200, 250], VOC = [50, 100, 150, 200, 250], # unsolve ), print_epochs = 10, num_workers= 8, )

and keep_per_class=1，score_threshold=0.9，voc0712.py and Other parameters should have been set correctly

train with nvidia v100 gpu with 3000 picture and 3 class, no problem

but !!!!!!!!!! run demo.py there are also wrong boxes in the picture[My example is that a picture must have three frames(3 class), each of which has a probability of more than 90%]

how can i do????

fuck!! yolov3 is much better

[WIKI2020]

I use the pre-training model vgg16_reducedfc.pth

[Ikhwansong]

Hey just calm down please. step by step, you can do it. cheer up !