diff --git a/cv/semantic_segmentation/bisenet/pytorch/README.md b/cv/semantic_segmentation/bisenet/pytorch/README.md index b91037426104bf0ffcceac62730711ecbfa95039..f531607d104a25c76a6b71feffba3fc739e91980 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 1547274d41a98a6c3e2bf1d84e8d0f86c7fced31..338ed6a91a38b86541590622fd0ec7b36d191a6d 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 e45d18c73ff86c570259d80787627fe9a23d20ec..afcd09f3f2d402bdeff5e406ae6e3ce374441fd3 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 1644183c77d715f3e3dba97deb4fedd4b7f328e0..6324a0b661fd529a4673f4ea48ae07e71cf8e446 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 f0ee8581ef5ac3139d51bc8194a2f609e4250b2f..fb66f8c9d7841c4f95d6631dc02e766a1edad066 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 9ebda2c0b029c4287979284f77301324748b1daa..c0427db4b7c40ef69b988e84c1b1715ac3ac5350 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 c4b08d669379e12d447f9c406838cd4786333bec..aa86e9e633a88ba780989becf1dee6d792e06c98 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 9335a8d79a9f5355a08b4b2c0479b9273c1b843b..94770e45701d7c87bdf5fcdceaa68d92257a7584 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 26c7419395a6394050c036505c0126e8a007dd90..4f50b4fd80405dd371b285d3902c09762ddf7334 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 1dedc0885f671f3a36fe73395ac8d10622c29b16..93ef76bd9e6fe82d379caaf874c4cf30ad5b1c15 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 aea55e80b52fd24450267cb64143215a3745f538..7cace876348dd6c83c92f0273f63c6bd82cfaf6a 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 d47ca9ec29fbd6f8aa838ebebe6a5ee1ef8ec409..f5dbfcd2093f6cb409b152568f1d009d4485ea32 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 bb722c50a03e0a7a9c151eb5e748e9d265d4ec5b..0399b3958b2cdc1b69613e872a1dccd48116e151 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 6053e1a451008b66e4a313573f4f0e5056cacd5e..576ab5ca71f3679f248aef21ef0893f46124c7f5 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 35a42a598a176d7fc4f23d11c666e8ece46343ee..c9723eb469509acf955bf991b2a7ccf7da02c279 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 dec302904f66ba3e9ced5ca37fb0bd5ec4560277..c1a6f1bec2073dd1bfcdeb3b7d5cc3bf044b02d7 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 ccbd6e8c090c5601aae0b331dfbeda7f0a775161..19aca485b6e73a1cc14b6b785d5ff4e655582e5c 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 ae50b81a3da9184e57e5235704f18add489ee7c7..9c5e0e40d527ad388ef8e85c339c32b7ee5904ad 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 96442fe6fc757eb3ee24b728eca9e9263fdac087..a821cc24a89b64b4a9823b59828bede07acfc37c 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 bd70e2d80ddb7b760c1013abb1fc738150047187..240d40ac332b0456a6cb4f90b5de4b70dfe6902c 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 5a4264f0af815f82618589151cb8f5fe85a75623..40d9fb55c03a93437c99b56cacb8d459b56ff3c6 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 2dd7028ca4bb79c4be17b1913f24ed89b71e497f..b22ed72181627df177a9c76ea2d5328e54a96f9e 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 ec1b475c3119db5cf5e00c48e935f2e75e2d53b5..f9010acfecb51dd1cd4d670e24a24d1a1886738b 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 ae3456137f71d993ff9efd5524b1fb04124f8425..9e37c75b9c9b03cffe6f7981a9d51f5707357a98 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 9922a75e41a588c4b74a114b913107eb2765336b..85ad7df76b979859ea19fa8981c499143f062fd6 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