quantization_example - RandomSampler is used when epoch_size!=0. epoch_size=0.1 means...

[jacinto-ai/pytorch-jacinto-ai-devkit.git] / run_segmentation.sh

diff --git a/run_segmentation.sh b/run_segmentation.sh
index d96b700545c6c31364f8c90713a9634d2f9a98e8..d25a5d8e1971f7b7807cb75494e07fc7776bd06b 100755 (executable)
--- a/run_segmentation.sh
+++ b/run_segmentation.sh
@@ -45,7 +45,7 @@
 #--ResNet50 encoder with half the channels + deeplabv3lite
 #### Cityscapes Semantic Segmentation - Training with ResNet50_p5+DeeplabV3Lite (ResNet50 encoder with half the channels): deeplabv3lite_resnet50_p5 & deeplabv3lite_resnet50_p5_fd
 #python ./scripts/train_segmentation_main.py --dataset_name cityscapes_segmentation --model_name deeplabv3lite_resnet50_p5 --data_path ./data/datasets/cityscapes/data --img_resize 384 768 --output_size 1024 2048 --gpus 0 1 \
-#--pretrained "./data/modelzoo/pretrained/pytorch/imagenet_classification/resnet50-0.5_b256_lr0.1_step30_inception-aug(0.08-1.0)_epoch(92of100)_1gmac_(72.05%)/model_best.pth.tar"
+#--pretrained "./data/modelzoo/pretrained/pytorch/imagenet_classification/jacinto_ai/resnet50-0.5_2018-07-23_12-10-23.pth"
 
 
 #-- VOC Segmentation
@@ -58,7 +58,7 @@
 ## Validation
 ## =====================================================================================
 #### Validation - Cityscapes Semantic Segmentation - Validation with MobileNetV2+DeeplabV3Lite - populate the pretrained filename in ??
-#python ./scripts/train_segmentation_main.py --evaluate True --dataset_name cityscapes_segmentation --model_name deeplabv3lite_mobilenetv2_tv --data_path ./data/datasets/cityscapes/data --img_resize 384 768 --output_size 1024 2048 --gpus 0 1 \
+#python ./scripts/train_segmentation_main.py --phase validation --dataset_name cityscapes_segmentation --model_name deeplabv3lite_mobilenetv2_tv --data_path ./data/datasets/cityscapes/data --img_resize 384 768 --output_size 1024 2048 --gpus 0 1 \
 #--pretrained ??
 
 #### Inference - Cityscapes Semantic Segmentation - Inference with MobileNetV2+DeeplabV3Lite - populate the pretrained filename in ??
@@ -66,8 +66,8 @@
 #--pretrained ???
 
 #### Validation - VOC Segmentation - Validation with MobileNetV2+DeeplabV3Lite - populate the pretrained filename in ??
-#python ./scripts/train_segmentation_main.py --evaluate True --dataset_name voc_segmentation_measure --model_name deeplabv3lite_mobilenetv2_tv --data_path ./data/datasets/voc --img_resize 512 512 --output_size 512 512 --gpus 0 1
-#--evaluate True --pretrained ???
+#python ./scripts/train_segmentation_main.py --phase validation --dataset_name voc_segmentation_measure --model_name deeplabv3lite_mobilenetv2_tv --data_path ./data/datasets/voc --img_resize 512 512 --output_size 512 512 --gpus 0 1
+#--phase validation --pretrained ???