From ec4e3986ec1ad89b2a879c1f5a524eade2e41a91 Mon Sep 17 00:00:00 2001 From: "hongliang.yuan" Date: Mon, 13 Oct 2025 09:57:55 +0800 Subject: [PATCH] update coco dataset introduction --- .../cv/object_detection/atss/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/atss/ixrt/README.md | 28 ++++++++++++++++- .../object_detection/centernet/igie/README.md | 28 ++++++++++++++++- .../object_detection/centernet/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/detr/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/fcos/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/fcos/ixrt/README.md | 30 +++++++++++++++++-- .../object_detection/foveabox/igie/README.md | 28 ++++++++++++++++- .../object_detection/foveabox/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/fsaf/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/fsaf/ixrt/README.md | 28 ++++++++++++++++- models/cv/object_detection/gfl/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/hrnet/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/hrnet/ixrt/README.md | 28 ++++++++++++++++- models/cv/object_detection/paa/igie/README.md | 28 ++++++++++++++++- models/cv/object_detection/paa/ixrt/README.md | 28 ++++++++++++++++- .../object_detection/retinanet/igie/README.md | 28 ++++++++++++++++- .../object_detection/retinanet/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/rtmdet/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/sabl/igie/README.md | 28 ++++++++++++++++- models/cv/object_detection/ssd/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolof/igie/README.md | 28 ++++++++++++++++- .../object_detection/yolov10/igie/README.md | 28 +++++++++++++++++ .../object_detection/yolov10/ixrt/README.md | 28 +++++++++++++++++ .../object_detection/yolov11/igie/README.md | 28 +++++++++++++++++ .../object_detection/yolov11/ixrt/README.md | 28 +++++++++++++++++ .../object_detection/yolov12/igie/README.md | 28 +++++++++++++++++ .../object_detection/yolov13/igie/README.md | 28 +++++++++++++++++ .../cv/object_detection/yolov3/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov3/ixrt/README.md | 29 ++++++++++++++++-- .../cv/object_detection/yolov4/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov4/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov5/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov5/ixrt/README.md | 29 ++++++++++++++++-- .../object_detection/yolov5s/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov6/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov6/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov7/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov7/ixrt/README.md | 29 ++++++++++++++++-- .../cv/object_detection/yolov8/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov8/ixrt/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolov9/igie/README.md | 28 +++++++++++++++++ .../cv/object_detection/yolov9/ixrt/README.md | 28 +++++++++++++++++ .../cv/object_detection/yolox/igie/README.md | 28 ++++++++++++++++- .../cv/object_detection/yolox/ixrt/README.md | 28 ++++++++++++++++- .../pose_estimation/hrnetpose/igie/README.md | 28 ++++++++++++++++- .../cv/pose_estimation/rtmpose/igie/README.md | 28 ++++++++++++++++- .../cv/pose_estimation/rtmpose/ixrt/README.md | 28 ++++++++++++++++- 48 files changed, 1301 insertions(+), 48 deletions(-) diff --git a/models/cv/object_detection/atss/igie/README.md b/models/cv/object_detection/atss/igie/README.md index fe1cbfe0..8e1fbbe6 100644 --- a/models/cv/object_detection/atss/igie/README.md +++ b/models/cv/object_detection/atss/igie/README.md @@ -17,7 +17,33 @@ ATSS is an advanced adaptive training sample selection method that effectively e Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth diff --git a/models/cv/object_detection/atss/ixrt/README.md b/models/cv/object_detection/atss/ixrt/README.md index 88e55719..a1b5f385 100644 --- a/models/cv/object_detection/atss/ixrt/README.md +++ b/models/cv/object_detection/atss/ixrt/README.md @@ -16,7 +16,33 @@ ATSS is an advanced adaptive training sample selection method that effectively e Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth diff --git a/models/cv/object_detection/centernet/igie/README.md b/models/cv/object_detection/centernet/igie/README.md index 7b2a9b33..2e461ce1 100644 --- a/models/cv/object_detection/centernet/igie/README.md +++ b/models/cv/object_detection/centernet/igie/README.md @@ -17,7 +17,33 @@ CenterNet is an efficient object detection model that simplifies the traditional Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/centernet/ixrt/README.md b/models/cv/object_detection/centernet/ixrt/README.md index 292ce276..ed111a3f 100644 --- a/models/cv/object_detection/centernet/ixrt/README.md +++ b/models/cv/object_detection/centernet/ixrt/README.md @@ -17,7 +17,33 @@ CenterNet is an efficient object detection model that simplifies the traditional Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/detr/ixrt/README.md b/models/cv/object_detection/detr/ixrt/README.md index 2386a675..87da47f8 100755 --- a/models/cv/object_detection/detr/ixrt/README.md +++ b/models/cv/object_detection/detr/ixrt/README.md @@ -17,7 +17,33 @@ DETR (DEtection TRansformer) is a novel approach that views object detection as Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/fcos/igie/README.md b/models/cv/object_detection/fcos/igie/README.md index 54bcebf1..c14fc5d1 100644 --- a/models/cv/object_detection/fcos/igie/README.md +++ b/models/cv/object_detection/fcos/igie/README.md @@ -17,7 +17,33 @@ FCOS is an innovative one-stage object detection framework that abandons traditi Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/fcos/fcos_r50_caffe_fpn_gn-head_1x_coco/fcos_r50_caffe_fpn_gn-head_1x_coco-821213aa.pth diff --git a/models/cv/object_detection/fcos/ixrt/README.md b/models/cv/object_detection/fcos/ixrt/README.md index ca628784..29e8bcd2 100755 --- a/models/cv/object_detection/fcos/ixrt/README.md +++ b/models/cv/object_detection/fcos/ixrt/README.md @@ -18,10 +18,34 @@ For more details, please refer to our [report on Arxiv](https://arxiv.org/abs/19 Pretrained model: -COCO2017: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` -- val2017: Path/To/val2017/*.jpg -- annotations: Path/To/annotations/instances_val2017.json ### Install Dependencies diff --git a/models/cv/object_detection/foveabox/igie/README.md b/models/cv/object_detection/foveabox/igie/README.md index 196054d8..ead77b39 100644 --- a/models/cv/object_detection/foveabox/igie/README.md +++ b/models/cv/object_detection/foveabox/igie/README.md @@ -17,7 +17,33 @@ FoveaBox is an advanced anchor-free object detection framework that enhances acc Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/foveabox/ixrt/README.md b/models/cv/object_detection/foveabox/ixrt/README.md index b131f0d7..08827c9b 100644 --- a/models/cv/object_detection/foveabox/ixrt/README.md +++ b/models/cv/object_detection/foveabox/ixrt/README.md @@ -17,7 +17,33 @@ FoveaBox is an advanced anchor-free object detection framework that enhances acc Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/fsaf/igie/README.md b/models/cv/object_detection/fsaf/igie/README.md index d8e5e827..10f76ac2 100644 --- a/models/cv/object_detection/fsaf/igie/README.md +++ b/models/cv/object_detection/fsaf/igie/README.md @@ -17,7 +17,33 @@ The FSAF (Feature Selective Anchor-Free) module is an innovative component for s Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth diff --git a/models/cv/object_detection/fsaf/ixrt/README.md b/models/cv/object_detection/fsaf/ixrt/README.md index f7093224..ea520423 100644 --- a/models/cv/object_detection/fsaf/ixrt/README.md +++ b/models/cv/object_detection/fsaf/ixrt/README.md @@ -17,7 +17,33 @@ The FSAF (Feature Selective Anchor-Free) module is an innovative component for s Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth diff --git a/models/cv/object_detection/gfl/igie/README.md b/models/cv/object_detection/gfl/igie/README.md index 2622fff7..ffdb0919 100644 --- a/models/cv/object_detection/gfl/igie/README.md +++ b/models/cv/object_detection/gfl/igie/README.md @@ -17,7 +17,33 @@ GFL (Generalized Focal Loss) is an object detection model that utilizes an impro Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/hrnet/igie/README.md b/models/cv/object_detection/hrnet/igie/README.md index 751a338e..7d8c37be 100644 --- a/models/cv/object_detection/hrnet/igie/README.md +++ b/models/cv/object_detection/hrnet/igie/README.md @@ -17,7 +17,33 @@ HRNet is an advanced deep learning architecture for human pose estimation, chara Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/hrnet/ixrt/README.md b/models/cv/object_detection/hrnet/ixrt/README.md index 93b2c5f7..194f13ec 100644 --- a/models/cv/object_detection/hrnet/ixrt/README.md +++ b/models/cv/object_detection/hrnet/ixrt/README.md @@ -17,7 +17,33 @@ HRNet is an advanced deep learning architecture for human pose estimation, chara Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/paa/igie/README.md b/models/cv/object_detection/paa/igie/README.md index b98ad822..052bdf3a 100644 --- a/models/cv/object_detection/paa/igie/README.md +++ b/models/cv/object_detection/paa/igie/README.md @@ -17,7 +17,33 @@ PAA (Probabilistic Anchor Assignment) is an algorithm for object detection that Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/paa/ixrt/README.md b/models/cv/object_detection/paa/ixrt/README.md index 4d86d44b..000c21c9 100644 --- a/models/cv/object_detection/paa/ixrt/README.md +++ b/models/cv/object_detection/paa/ixrt/README.md @@ -16,7 +16,33 @@ PAA (Probabilistic Anchor Assignment) is an algorithm for object detection that Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth diff --git a/models/cv/object_detection/retinanet/igie/README.md b/models/cv/object_detection/retinanet/igie/README.md index eaad1376..5ea1839a 100644 --- a/models/cv/object_detection/retinanet/igie/README.md +++ b/models/cv/object_detection/retinanet/igie/README.md @@ -17,7 +17,33 @@ RetinaNet, an innovative object detector, challenges the conventional trade-off Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/retinanet/ixrt/README.md b/models/cv/object_detection/retinanet/ixrt/README.md index 1993f3a6..c9d3e7bd 100644 --- a/models/cv/object_detection/retinanet/ixrt/README.md +++ b/models/cv/object_detection/retinanet/ixrt/README.md @@ -16,7 +16,33 @@ RetinaNet, an innovative object detector, challenges the conventional trade-off Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth diff --git a/models/cv/object_detection/rtmdet/igie/README.md b/models/cv/object_detection/rtmdet/igie/README.md index 17460c92..cdc20956 100644 --- a/models/cv/object_detection/rtmdet/igie/README.md +++ b/models/cv/object_detection/rtmdet/igie/README.md @@ -17,7 +17,33 @@ RTMDet, presented by the Shanghai AI Laboratory, is a novel framework for real-t Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth diff --git a/models/cv/object_detection/sabl/igie/README.md b/models/cv/object_detection/sabl/igie/README.md index b26d8514..0cf83d99 100644 --- a/models/cv/object_detection/sabl/igie/README.md +++ b/models/cv/object_detection/sabl/igie/README.md @@ -17,7 +17,33 @@ SABL (Side-Aware Boundary Localization) is an innovative approach in object dete Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmdetection/v2.0/sabl/sabl_retinanet_r50_fpn_1x_coco/sabl_retinanet_r50_fpn_1x_coco-6c54fd4f.pth diff --git a/models/cv/object_detection/ssd/igie/README.md b/models/cv/object_detection/ssd/igie/README.md index 4e24ba43..86a4b0b7 100644 --- a/models/cv/object_detection/ssd/igie/README.md +++ b/models/cv/object_detection/ssd/igie/README.md @@ -16,7 +16,33 @@ SSD is a single convolutional neural network-based object detection model that u Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolof/igie/README.md b/models/cv/object_detection/yolof/igie/README.md index 25b3f033..20b7688d 100644 --- a/models/cv/object_detection/yolof/igie/README.md +++ b/models/cv/object_detection/yolof/igie/README.md @@ -16,7 +16,33 @@ YOLOF is a lightweight object detection model that focuses on single-level featu Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov10/igie/README.md b/models/cv/object_detection/yolov10/igie/README.md index ceb61266..393d12d1 100644 --- a/models/cv/object_detection/yolov10/igie/README.md +++ b/models/cv/object_detection/yolov10/igie/README.md @@ -17,6 +17,34 @@ YOLOv10, built on the Ultralytics Python package by researchers at Tsinghua Univ Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov10/ixrt/README.md b/models/cv/object_detection/yolov10/ixrt/README.md index 54ccc13d..c5ebeefe 100644 --- a/models/cv/object_detection/yolov10/ixrt/README.md +++ b/models/cv/object_detection/yolov10/ixrt/README.md @@ -17,6 +17,34 @@ YOLOv10, built on the Ultralytics Python package by researchers at Tsinghua Univ Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov11/igie/README.md b/models/cv/object_detection/yolov11/igie/README.md index a32b602e..5ab28d73 100644 --- a/models/cv/object_detection/yolov11/igie/README.md +++ b/models/cv/object_detection/yolov11/igie/README.md @@ -17,6 +17,34 @@ YOLOv11 is the latest generation of the YOLO (You Only Look Once) series object Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov11/ixrt/README.md b/models/cv/object_detection/yolov11/ixrt/README.md index 1368906e..f2aea24a 100644 --- a/models/cv/object_detection/yolov11/ixrt/README.md +++ b/models/cv/object_detection/yolov11/ixrt/README.md @@ -17,6 +17,34 @@ YOLOv11 is the latest generation of the YOLO (You Only Look Once) series object Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov12/igie/README.md b/models/cv/object_detection/yolov12/igie/README.md index 3af101ce..2549fc49 100644 --- a/models/cv/object_detection/yolov12/igie/README.md +++ b/models/cv/object_detection/yolov12/igie/README.md @@ -17,6 +17,34 @@ YOLOv12 achieves high precision and efficient real-time object detection by inte Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov13/igie/README.md b/models/cv/object_detection/yolov13/igie/README.md index 40baf5cb..7e862f52 100644 --- a/models/cv/object_detection/yolov13/igie/README.md +++ b/models/cv/object_detection/yolov13/igie/README.md @@ -16,6 +16,34 @@ YOLOv13 addresses the detection performance bottlenecks of the traditional YOLO Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov3/igie/README.md b/models/cv/object_detection/yolov3/igie/README.md index 067888a5..4902a91d 100644 --- a/models/cv/object_detection/yolov3/igie/README.md +++ b/models/cv/object_detection/yolov3/igie/README.md @@ -17,7 +17,33 @@ YOLOv3 is a influential object detection algorithm.The key innovation of YOLOv3 Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov3/ixrt/README.md b/models/cv/object_detection/yolov3/ixrt/README.md index f2bead09..d8830195 100644 --- a/models/cv/object_detection/yolov3/ixrt/README.md +++ b/models/cv/object_detection/yolov3/ixrt/README.md @@ -17,10 +17,33 @@ YOLOv3 is a influential object detection algorithm.The key innovation of YOLOv3 Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. -- val2017: Path/To/val2017/*.jpg -- annotations: Path/To/annotations/instances_val2017.json +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov4/igie/README.md b/models/cv/object_detection/yolov4/igie/README.md index c3681397..99dee0ff 100644 --- a/models/cv/object_detection/yolov4/igie/README.md +++ b/models/cv/object_detection/yolov4/igie/README.md @@ -18,7 +18,33 @@ YOLOv4 employs a two-step process, involving regression for bounding box positio Pretrained cfg: Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov4/ixrt/README.md b/models/cv/object_detection/yolov4/ixrt/README.md index 16811bb4..60b73eb0 100644 --- a/models/cv/object_detection/yolov4/ixrt/README.md +++ b/models/cv/object_detection/yolov4/ixrt/README.md @@ -18,7 +18,33 @@ YOLOv4 employs a two-step process, involving regression for bounding box positio Pretrained cfg: Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov5/igie/README.md b/models/cv/object_detection/yolov5/igie/README.md index 3a94cc17..e50af699 100644 --- a/models/cv/object_detection/yolov5/igie/README.md +++ b/models/cv/object_detection/yolov5/igie/README.md @@ -17,7 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov5/ixrt/README.md b/models/cv/object_detection/yolov5/ixrt/README.md index 94f8c00e..3ee45421 100644 --- a/models/cv/object_detection/yolov5/ixrt/README.md +++ b/models/cv/object_detection/yolov5/ixrt/README.md @@ -17,10 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. -- val2017: Path/To/val2017/*.jpg -- annotations: Path/To/annotations/instances_val2017.json +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov5s/ixrt/README.md b/models/cv/object_detection/yolov5s/ixrt/README.md index 2c398200..37bfdef1 100755 --- a/models/cv/object_detection/yolov5s/ixrt/README.md +++ b/models/cv/object_detection/yolov5s/ixrt/README.md @@ -17,7 +17,33 @@ The YOLOv5 architecture is designed for efficient and accurate object detection Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov6/igie/README.md b/models/cv/object_detection/yolov6/igie/README.md index 68949b49..cb3a3bfd 100644 --- a/models/cv/object_detection/yolov6/igie/README.md +++ b/models/cv/object_detection/yolov6/igie/README.md @@ -17,7 +17,33 @@ YOLOv6 integrates cutting-edge object detection advancements from industry and a Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov6/ixrt/README.md b/models/cv/object_detection/yolov6/ixrt/README.md index 3ec3c1b6..6c6bd390 100644 --- a/models/cv/object_detection/yolov6/ixrt/README.md +++ b/models/cv/object_detection/yolov6/ixrt/README.md @@ -17,7 +17,33 @@ YOLOv6 integrates cutting-edge object detection advancements from industry and a Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov7/igie/README.md b/models/cv/object_detection/yolov7/igie/README.md index 3491c2b2..9a078793 100644 --- a/models/cv/object_detection/yolov7/igie/README.md +++ b/models/cv/object_detection/yolov7/igie/README.md @@ -17,7 +17,33 @@ YOLOv7 is a state-of-the-art real-time object detector that surpasses all known Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov7/ixrt/README.md b/models/cv/object_detection/yolov7/ixrt/README.md index 0f448dd0..e339c3cd 100644 --- a/models/cv/object_detection/yolov7/ixrt/README.md +++ b/models/cv/object_detection/yolov7/ixrt/README.md @@ -17,10 +17,33 @@ YOLOv7 is an object detection model based on the YOLO (You Only Look Once) serie Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. -- val2017: Path/To/val2017/*.jpg -- annotations: Path/To/annotations/instances_val2017.json +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov8/igie/README.md b/models/cv/object_detection/yolov8/igie/README.md index 3ad88c4d..dbd390e7 100644 --- a/models/cv/object_detection/yolov8/igie/README.md +++ b/models/cv/object_detection/yolov8/igie/README.md @@ -17,7 +17,33 @@ Yolov8 combines speed and accuracy in real-time object detection tasks. With a f Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov8/ixrt/README.md b/models/cv/object_detection/yolov8/ixrt/README.md index 753853a5..47100eea 100644 --- a/models/cv/object_detection/yolov8/ixrt/README.md +++ b/models/cv/object_detection/yolov8/ixrt/README.md @@ -17,7 +17,33 @@ Yolov8 combines speed and accuracy in real-time object detection tasks. With a f Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolov9/igie/README.md b/models/cv/object_detection/yolov9/igie/README.md index 7e7214fe..a859f82b 100644 --- a/models/cv/object_detection/yolov9/igie/README.md +++ b/models/cv/object_detection/yolov9/igie/README.md @@ -17,6 +17,34 @@ YOLOv9 represents a major leap in real-time object detection by introducing inno Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolov9/ixrt/README.md b/models/cv/object_detection/yolov9/ixrt/README.md index f4cd7d80..5739b1e9 100644 --- a/models/cv/object_detection/yolov9/ixrt/README.md +++ b/models/cv/object_detection/yolov9/ixrt/README.md @@ -17,6 +17,34 @@ YOLOv9 represents a major leap in real-time object detection by introducing inno Pretrained model: +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` + ### Install Dependencies Contact the Iluvatar administrator to get the missing packages: diff --git a/models/cv/object_detection/yolox/igie/README.md b/models/cv/object_detection/yolox/igie/README.md index 5dd217a2..c666450d 100644 --- a/models/cv/object_detection/yolox/igie/README.md +++ b/models/cv/object_detection/yolox/igie/README.md @@ -17,7 +17,33 @@ YOLOX is an anchor-free version of YOLO, with a simpler design but better perfor Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/object_detection/yolox/ixrt/README.md b/models/cv/object_detection/yolox/ixrt/README.md index 75f3a558..5da71b58 100644 --- a/models/cv/object_detection/yolox/ixrt/README.md +++ b/models/cv/object_detection/yolox/ixrt/README.md @@ -18,7 +18,33 @@ For more details, please refer to our [report on Arxiv](https://arxiv.org/abs/21 Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies diff --git a/models/cv/pose_estimation/hrnetpose/igie/README.md b/models/cv/pose_estimation/hrnetpose/igie/README.md index bf366b34..b3e860b2 100644 --- a/models/cv/pose_estimation/hrnetpose/igie/README.md +++ b/models/cv/pose_estimation/hrnetpose/igie/README.md @@ -17,7 +17,33 @@ HRNetPose (High-Resolution Network for Pose Estimation) is a high-performance hu Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmpose/top_down/hrnet/hrnet_w32_coco_256x192-c78dce93_20200708.pth diff --git a/models/cv/pose_estimation/rtmpose/igie/README.md b/models/cv/pose_estimation/rtmpose/igie/README.md index 6b6a7eec..f13212fe 100644 --- a/models/cv/pose_estimation/rtmpose/igie/README.md +++ b/models/cv/pose_estimation/rtmpose/igie/README.md @@ -17,7 +17,33 @@ RTMPose, a state-of-the-art framework developed by Shanghai AI Laboratory, excel Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ```bash wget https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth diff --git a/models/cv/pose_estimation/rtmpose/ixrt/README.md b/models/cv/pose_estimation/rtmpose/ixrt/README.md index 2396196d..80a5df9b 100644 --- a/models/cv/pose_estimation/rtmpose/ixrt/README.md +++ b/models/cv/pose_estimation/rtmpose/ixrt/README.md @@ -17,7 +17,33 @@ RTMPose, a state-of-the-art framework developed by Shanghai AI Laboratory, excel Pretrained model: -Dataset: to download the validation dataset. +Dataset: + - to download the labels dataset. + - to download the validation dataset. + - to download the train dataset. + +```bash +unzip -q -d ./ coco2017labels.zip +unzip -q -d ./coco/images/ train2017.zip +unzip -q -d ./coco/images/ val2017.zip + +coco +├── annotations +│   └── instances_val2017.json +├── images +│   ├── train2017 +│   └── val2017 +├── labels +│   ├── train2017 +│   └── val2017 +├── LICENSE +├── README.txt +├── test-dev2017.txt +├── train2017.cache +├── train2017.txt +├── val2017.cache +└── val2017.txt +``` ### Install Dependencies -- Gitee