Open Mendel1 opened 7 years ago
I retrain the deeplab part and the result is 61% for baseline while 66% for dcn. This is a lot below the official result. I only changed the gpu to 2 and remove the multiprocess in loader. Anyone know why it came to be that? the config file for dcn
--- MXNET_VERSION: "mxnet" output_path: "./output/voc12" symbol: resnet_v1_101_deeplab_dcn gpus: '0,1' SCALES: - 360 - 600 default: frequent: 10 kvstore: device dataset: NUM_CLASSES: 21 dataset: PascalVOC dataset_path: "./data/VOCdevkit2012/" image_set: 2012_train_seg root_path: "./data/" test_image_set: 2012_val_seg network: FIXED_PARAMS: - conv1 - bn_conv1 - res2 - bn2 - gamma - beta FIXED_PARAMS_SHARED: - conv1 - bn_conv1 - res2 - bn2 - res3 - bn3 - res4 - bn4 - gamma - beta IMAGE_STRIDE: 0 PIXEL_MEANS: - 103.06 - 115.90 - 123.15 pretrained: "./model/pretrained_model/resnet_v1_101" pretrained_epoch: 0 TRAIN: warmup: false warmup_lr: 0.00005 warmup_step: 1000 begin_epoch: 0 end_epoch: 12 lr: 0.0005 lr_step: '8' model_prefix: "deeplab_resnet_v1_101_voc12_segmentation_dcn" FLIP: true BATCH_IMAGES: 1 ENABLE_CROP: False CROP_HEIGHT: 768 CROP_WIDTH: 1024 RESUME: false SHUFFLE: true TEST: BATCH_IMAGES: 1 test_epoch: 12
@Mendel1 have you retrain other part, for exampe ,rfcn and faster rcnn? what is the performace of other parts? thank you.
I retrain the deeplab part and the result is 61% for baseline while 66% for dcn. This is a lot below the official result. I only changed the gpu to 2 and remove the multiprocess in loader. Anyone know why it came to be that? the config file for dcn