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update mindyolo readme
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WongGawa authored Jul 19, 2024
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4 changes: 2 additions & 2 deletions GETTING_STARTED.md
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### Inference Demo with Pre-trained Models

1. Pick a model and its config file from the
[model zoo](MODEL_ZOO.md),
[Model Zoo](benchmark_results.md),
such as, `./configs/yolov7/yolov7.yaml`.
2. Download the corresponding pre-trained checkpoint from the [model zoo](MODEL_ZOO.md) of each model.
2. Download the corresponding pre-trained checkpoint from the [Model Zoo](benchmark_results.md) of each model.
3. To run YOLO object detection with the built-in configs, please run:

```
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4 changes: 2 additions & 2 deletions GETTING_STARTED_CN.md
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### 使用预训练模型进行推理

1.[model zoo](MODEL_ZOO.md)中选择一个模型及其配置文件,例如, `./configs/yolov7/yolov7.yaml`.
2.[model zoo](MODEL_ZOO.md)中下载相应的预训练模型权重文件。
1.[模型仓库](benchmark_results.md)中选择一个模型及其配置文件,例如, `./configs/yolov7/yolov7.yaml`.
2.[模型仓库](benchmark_results.md)中下载相应的预训练模型权重文件。
3. 使用内置配置进行推理,请运行以下命令:

```shell
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43 changes: 0 additions & 43 deletions MODEL_ZOO.md

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19 changes: 11 additions & 8 deletions README.md
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MindYOLO implements state-of-the-art YOLO series algorithms based on MindSpore.
The following is the corresponding `mindyolo` versions and supported `mindspore` versions.
| mindyolo | mindspore |
| :--: | :--: |
| master | master |
| 0.4 | 2.3.0 |
| 0.3 | 2.2.10 |
| 0.2 | 2.0 |
| 0.1 | 1.8 |
| mindyolo | mindspore | tested hardware |
| :--: | :--: | :--: |
| master | master | Ascend 910* |
| 0.4 | 2.3.0 | Ascend 910* |
| 0.3 | 2.2.10 | Ascend 910* & Ascend 910 |
| 0.2 | 2.0 | Ascend 910 |
| 0.1 | 1.8 | Ascend 910 |

<img src="https://raw.githubusercontent.com/mindspore-lab/mindyolo/master/.github/000000137950.jpg" />

## Benchmark and Model Zoo

See [Benchmark Results](benchmark_results.md).

## supported model list
- [ ] YOLOv10 (welcome to contribute)
- [ ] YOLOv9 (welcome to contribute)
Expand All @@ -34,7 +38,6 @@ The following is the corresponding `mindyolo` versions and supported `mindspore`
- [x] [YOLOv4](configs/yolov4)
- [x] [YOLOv3](configs/yolov3)


## Installation

See [INSTALLATION](docs/en/installation.md) for details.
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