From 8bdbe9872a3e23f0b51192263aa98a63a0e3ba48 Mon Sep 17 00:00:00 2001 From: majorli6 Date: Mon, 21 Nov 2022 13:13:11 +0800 Subject: [PATCH] add data fetch steps in semantic_segmentation link #I5Y01H Signed-off-by: majorli6 --- cv/semantic_segmentation/bisenet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/cgnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/contextnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/dabnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/danet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/deeplabv3/pytorch/README.md | 6 +++++- cv/semantic_segmentation/denseaspp/pytorch/README.md | 6 +++++- cv/semantic_segmentation/dfanet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/dunet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/encnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/enet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/erfnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/espnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/fastscnn/pytorch/README.md | 6 +++++- cv/semantic_segmentation/fcn/pytorch/README.md | 6 +++++- cv/semantic_segmentation/fpenet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/hardnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/icnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/lednet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/linknet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/ocnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/psanet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/refinenet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/segnet/pytorch/README.md | 6 +++++- cv/semantic_segmentation/unet/pytorch/README.md | 6 +++++- 25 files changed, 125 insertions(+), 25 deletions(-) diff --git a/cv/semantic_segmentation/bisenet/pytorch/README.md b/cv/semantic_segmentation/bisenet/pytorch/README.md index b91037426..f531607d1 100644 --- a/cv/semantic_segmentation/bisenet/pytorch/README.md +++ b/cv/semantic_segmentation/bisenet/pytorch/README.md @@ -19,7 +19,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_bisenet_r18_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/cgnet/pytorch/README.md b/cv/semantic_segmentation/cgnet/pytorch/README.md index 1547274d4..338ed6a91 100644 --- a/cv/semantic_segmentation/cgnet/pytorch/README.md +++ b/cv/semantic_segmentation/cgnet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_cgnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/contextnet/pytorch/README.md b/cv/semantic_segmentation/contextnet/pytorch/README.md index e45d18c73..afcd09f3f 100644 --- a/cv/semantic_segmentation/contextnet/pytorch/README.md +++ b/cv/semantic_segmentation/contextnet/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_contextnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/dabnet/pytorch/README.md b/cv/semantic_segmentation/dabnet/pytorch/README.md index 1644183c7..6324a0b66 100644 --- a/cv/semantic_segmentation/dabnet/pytorch/README.md +++ b/cv/semantic_segmentation/dabnet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_dabnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/danet/pytorch/README.md b/cv/semantic_segmentation/danet/pytorch/README.md index f0ee8581e..fb66f8c9d 100644 --- a/cv/semantic_segmentation/danet/pytorch/README.md +++ b/cv/semantic_segmentation/danet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_danet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/deeplabv3/pytorch/README.md b/cv/semantic_segmentation/deeplabv3/pytorch/README.md index 9ebda2c0b..c0427db4b 100644 --- a/cv/semantic_segmentation/deeplabv3/pytorch/README.md +++ b/cv/semantic_segmentation/deeplabv3/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_deeplabv3_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/denseaspp/pytorch/README.md b/cv/semantic_segmentation/denseaspp/pytorch/README.md index c4b08d669..aa86e9e63 100644 --- a/cv/semantic_segmentation/denseaspp/pytorch/README.md +++ b/cv/semantic_segmentation/denseaspp/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_denseaspp_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/dfanet/pytorch/README.md b/cv/semantic_segmentation/dfanet/pytorch/README.md index 9335a8d79..94770e457 100644 --- a/cv/semantic_segmentation/dfanet/pytorch/README.md +++ b/cv/semantic_segmentation/dfanet/pytorch/README.md @@ -19,7 +19,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_dfanet_xceptiona_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/dunet/pytorch/README.md b/cv/semantic_segmentation/dunet/pytorch/README.md index 26c741939..4f50b4fd8 100644 --- a/cv/semantic_segmentation/dunet/pytorch/README.md +++ b/cv/semantic_segmentation/dunet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_dunet_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/encnet/pytorch/README.md b/cv/semantic_segmentation/encnet/pytorch/README.md index 1dedc0885..93ef76bd9 100644 --- a/cv/semantic_segmentation/encnet/pytorch/README.md +++ b/cv/semantic_segmentation/encnet/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_encnet_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/enet/pytorch/README.md b/cv/semantic_segmentation/enet/pytorch/README.md index aea55e80b..7cace8763 100644 --- a/cv/semantic_segmentation/enet/pytorch/README.md +++ b/cv/semantic_segmentation/enet/pytorch/README.md @@ -23,7 +23,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_enet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/erfnet/pytorch/README.md b/cv/semantic_segmentation/erfnet/pytorch/README.md index d47ca9ec2..f5dbfcd20 100644 --- a/cv/semantic_segmentation/erfnet/pytorch/README.md +++ b/cv/semantic_segmentation/erfnet/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_erfnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/espnet/pytorch/README.md b/cv/semantic_segmentation/espnet/pytorch/README.md index bb722c50a..0399b3958 100644 --- a/cv/semantic_segmentation/espnet/pytorch/README.md +++ b/cv/semantic_segmentation/espnet/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_espnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/fastscnn/pytorch/README.md b/cv/semantic_segmentation/fastscnn/pytorch/README.md index 6053e1a45..576ab5ca7 100644 --- a/cv/semantic_segmentation/fastscnn/pytorch/README.md +++ b/cv/semantic_segmentation/fastscnn/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_fastscnn_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/fcn/pytorch/README.md b/cv/semantic_segmentation/fcn/pytorch/README.md index 35a42a598..c9723eb46 100644 --- a/cv/semantic_segmentation/fcn/pytorch/README.md +++ b/cv/semantic_segmentation/fcn/pytorch/README.md @@ -21,7 +21,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_fcn_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/fpenet/pytorch/README.md b/cv/semantic_segmentation/fpenet/pytorch/README.md index dec302904..c1a6f1bec 100644 --- a/cv/semantic_segmentation/fpenet/pytorch/README.md +++ b/cv/semantic_segmentation/fpenet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_fpenet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/hardnet/pytorch/README.md b/cv/semantic_segmentation/hardnet/pytorch/README.md index ccbd6e8c0..19aca485b 100644 --- a/cv/semantic_segmentation/hardnet/pytorch/README.md +++ b/cv/semantic_segmentation/hardnet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_hardnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/icnet/pytorch/README.md b/cv/semantic_segmentation/icnet/pytorch/README.md index ae50b81a3..9c5e0e40d 100644 --- a/cv/semantic_segmentation/icnet/pytorch/README.md +++ b/cv/semantic_segmentation/icnet/pytorch/README.md @@ -16,7 +16,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_icnet_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/lednet/pytorch/README.md b/cv/semantic_segmentation/lednet/pytorch/README.md index 96442fe6f..a821cc24a 100644 --- a/cv/semantic_segmentation/lednet/pytorch/README.md +++ b/cv/semantic_segmentation/lednet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_lednet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/linknet/pytorch/README.md b/cv/semantic_segmentation/linknet/pytorch/README.md index bd70e2d80..240d40ac3 100644 --- a/cv/semantic_segmentation/linknet/pytorch/README.md +++ b/cv/semantic_segmentation/linknet/pytorch/README.md @@ -17,7 +17,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_linknet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/ocnet/pytorch/README.md b/cv/semantic_segmentation/ocnet/pytorch/README.md index 5a4264f0a..40d9fb55c 100644 --- a/cv/semantic_segmentation/ocnet/pytorch/README.md +++ b/cv/semantic_segmentation/ocnet/pytorch/README.md @@ -21,7 +21,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_ocnet_r50_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/psanet/pytorch/README.md b/cv/semantic_segmentation/psanet/pytorch/README.md index 2dd7028ca..b22ed7218 100644 --- a/cv/semantic_segmentation/psanet/pytorch/README.md +++ b/cv/semantic_segmentation/psanet/pytorch/README.md @@ -19,7 +19,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_psanet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/refinenet/pytorch/README.md b/cv/semantic_segmentation/refinenet/pytorch/README.md index ec1b475c3..f9010acfe 100644 --- a/cv/semantic_segmentation/refinenet/pytorch/README.md +++ b/cv/semantic_segmentation/refinenet/pytorch/README.md @@ -19,7 +19,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_refinenet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/segnet/pytorch/README.md b/cv/semantic_segmentation/segnet/pytorch/README.md index ae3456137..9e37c75b9 100644 --- a/cv/semantic_segmentation/segnet/pytorch/README.md +++ b/cv/semantic_segmentation/segnet/pytorch/README.md @@ -21,7 +21,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_segnet_dist.sh --data-path /path/to/coco2017/ --dataset coco diff --git a/cv/semantic_segmentation/unet/pytorch/README.md b/cv/semantic_segmentation/unet/pytorch/README.md index 9922a75e4..85ad7df76 100644 --- a/cv/semantic_segmentation/unet/pytorch/README.md +++ b/cv/semantic_segmentation/unet/pytorch/README.md @@ -18,7 +18,11 @@ pip3 install 'scipy' 'matplotlib' 'pycocotools' 'opencv-python' 'easydict' 'tqdm ## Step 2: Training -#### Training on COCO dataset +### Preparing datasets + +Download the [COCO Dataset](https://cocodataset.org/#home) + +### Training on COCO dataset ```shell bash train_unet_dist.sh --data-path /path/to/coco2017/ --dataset coco -- Gitee