From 687d0ae4d3d40506d7e4883d3b6fb0c8edc81c8a Mon Sep 17 00:00:00 2001 From: WongGawa Date: Wed, 6 Nov 2024 15:45:43 +0800 Subject: [PATCH] update readme for ms2.3.1 --- GETTING_STARTED.md | 2 +- README.md | 2 +- configs/yolov3/README.md | 21 ++++++++++++++------- configs/yolov4/README.md | 7 +++++++ configs/yolov5/README.md | 7 +++++++ configs/yolov7/README.md | 7 +++++++ configs/yolov8/README.md | 7 +++++++ configs/yolox/README.md | 7 +++++++ docs/en/index.md | 2 +- docs/zh/index.md | 2 +- 10 files changed, 53 insertions(+), 11 deletions(-) diff --git a/GETTING_STARTED.md b/GETTING_STARTED.md index eeb3563d..a80ba9cc 100644 --- a/GETTING_STARTED.md +++ b/GETTING_STARTED.md @@ -29,7 +29,7 @@ to understand their behavior. Some common arguments are: * Prepare your dataset in YOLO format. If trained with COCO (YOLO format), prepare it from [yolov5](https://github.com/ultralytics/yolov5) or the darknet.
- + View More ``` coco/ {train,val}2017.txt diff --git a/README.md b/README.md index 434a1255..2600b896 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ The following is the corresponding `mindyolo` versions and supported `mindspore` | mindyolo | mindspore | | :--: | :--: | | master | master | -| 0.4 | 2.3.0 | +| 0.4 | 2.3.1/2.3.0 | | 0.3 | 2.2.10 | | 0.2 | 2.0 | | 0.1 | 1.8 | diff --git a/configs/yolov3/README.md b/configs/yolov3/README.md index 754ff065..76df79aa 100644 --- a/configs/yolov3/README.md +++ b/configs/yolov3/README.md @@ -14,17 +14,17 @@ We present some updates to YOLO! We made a bunch of little design changes to mak
performance tested on Ascend 910(8p) with graph mode -| Name | Scale | BatchSize | ImageSize | Dataset | Box mAP (%) | Params | Recipe | Download | -|--------| :---: | :---: | :---: |--------------| :---: | :---: | :---: | :---: | -| YOLOv3 | Darknet53 | 16 * 8 | 640 | MS COCO 2017 | 45.5 | 61.9M | [yaml](./yolov3.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-adfb27af.ckpt) | +| Model Name | Cards | Batch Size | ImageSize | jit_level | graph compile | Box mAP (%) | Params | Recipe | Download | +|:------:| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | +| YOLOv3 | 8 | 16 | 640 | O2 | 5 mins | 45.5 | 61.9M | [yaml](./yolov3.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-adfb27af.ckpt) |
performance tested on Ascend 910*(8p) -| Name | Scale | BatchSize | ImageSize | Dataset | Box mAP (%) | ms/step | Params | Recipe | Download | -|--------| :---: | :---: | :---: |--------------| :---: | :---: | :---: | :---: | :---: | -| YOLOv3 | Darknet53 | 16 * 8 | 640 | MS COCO 2017 | 46.6 | 396.60 | 61.9M | [yaml](./yolov3.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-81895f09-910v2.ckpt) | +| Model Name | Cards | Batch Size | ImageSize | jit_level | graph compile | Box mAP (%) | ms/step | Params | Recipe | Download | +|:------:| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | +| YOLOv3 | 8 | 16 | 640 | O2 | 5 mins | 46.6 | 396.60 | 61.9M | [yaml](./yolov3.yaml) | [weights](https://download-mindspore.osinfra.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-81895f09-910v2.ckpt) |

@@ -38,9 +38,16 @@ We present some updates to YOLO! We made a bunch of little design changes to mak Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training -
+
+View More #### - Pretraining Model diff --git a/configs/yolov4/README.md b/configs/yolov4/README.md index b55168b8..1190eae1 100644 --- a/configs/yolov4/README.md +++ b/configs/yolov4/README.md @@ -52,9 +52,16 @@ AP (65.7% AP50) for the MS COCO dataset at a realtime speed of 65 FPS on Tesla V Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training
+View More #### - Pretraining Model diff --git a/configs/yolov5/README.md b/configs/yolov5/README.md index 99ee0e50..e32953bc 100644 --- a/configs/yolov5/README.md +++ b/configs/yolov5/README.md @@ -41,9 +41,16 @@ YOLOv5 is a family of object detection architectures and models pretrained on th Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training
+View More #### - Distributed Training diff --git a/configs/yolov7/README.md b/configs/yolov7/README.md index 754826c7..15db6d1d 100644 --- a/configs/yolov7/README.md +++ b/configs/yolov7/README.md @@ -42,9 +42,16 @@ YOLOv7 surpasses all known object detectors in both speed and accuracy in the ra Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training
+View More #### - Distributed Training diff --git a/configs/yolov8/README.md b/configs/yolov8/README.md index 78fcf04c..126610cd 100644 --- a/configs/yolov8/README.md +++ b/configs/yolov8/README.md @@ -51,9 +51,16 @@ Ultralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-ar Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training
+View More #### - Distributed Training diff --git a/configs/yolox/README.md b/configs/yolox/README.md index be9d708e..74084a73 100644 --- a/configs/yolox/README.md +++ b/configs/yolox/README.md @@ -41,9 +41,16 @@ YOLOX is a new high-performance detector with some experienced improvements to Y Please refer to the [GETTING_STARTED](https://github.com/mindspore-lab/mindyolo/blob/master/GETTING_STARTED.md) in MindYOLO for details. +### Requirements + +| mindspore | ascend driver | firmware | cann toolkit/kernel +| :-------: | :-----------: | :----------: | :----------------: +| 2.3.1 | 24.1.RC2 | 7.3.0.1.231 | 8.0.RC2.beta1 + ### Training
+View More #### - Distributed Training diff --git a/docs/en/index.md b/docs/en/index.md index 0b15e9e1..cc38f487 100644 --- a/docs/en/index.md +++ b/docs/en/index.md @@ -25,7 +25,7 @@ The following is the corresponding `mindyolo` versions and supported `mindspore` | mindyolo | mindspore | | :--: | :--: | | master | master | -| 0.4 | 2.3.0 | +| 0.4 | 2.3.1/2.3.0 | | 0.3 | 2.2.10 | | 0.2 | 2.0 | | 0.1 | 1.8 | diff --git a/docs/zh/index.md b/docs/zh/index.md index 8e060835..1439275e 100644 --- a/docs/zh/index.md +++ b/docs/zh/index.md @@ -24,7 +24,7 @@ MindYOLO基于mindspore实现了最新的YOLO系列算法。以下是mindyolo的 | mindyolo | mindspore | | :--: | :--: | | master | master | -| 0.4 | 2.3.0 | +| 0.4 | 2.3.1/2.3.0 | | 0.3 | 2.2.10 | | 0.2 | 2.0 | | 0.1 | 1.8 |