mmsegmentation中的单元测试pytest 调试过程的vscode文件配置

{
    // 使用 IntelliSense 了解相关属性。 
    // 悬停以查看现有属性的描述。
    // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "单元测试",
            "type": "python",
            "request": "launch",
            // "program": "/root/mmlab/mmsegmentation/tests/test_models/test_losses/test_dice_loss.py",
            "console": "integratedTerminal",
            "justMyCode": false,
            "module": "pytest",
            "args": ["-vv", "/root/mmlab/mmsegmentation/tests/test_models/test_losses/test_dice_loss.py"]
        },
        {
            "name": "train",
            "type": "python",
            "request": "launch",
            "program": "/root/mmlab/mmsegmentation/tools/train.py",
            "console": "integratedTerminal",
            "justMyCode": false,
            "args": [
                // "/root/mmlab/mmsegmentation/configs/all_changed/convnext-tiny_upernet_8xb2-amp-160k_ade20k-512x512.py"
                // "/root/mmlab/mmsegmentation/configs/all_changed/upernet_r18_4xb4-160k_ade20k-512x512.py"
                // "/root/mmlab/mmsegmentation/configs/all_changed/unet-s5-d16_fcn_4xb4-40k_crack500-128x128.py"
                // "/root/mmlab/mmsegmentation/configs/all_changed/unet-s5-d16_fcn_4xb4-40k_voc12-512x512.py"
                // "/root/mmlab/mmsegmentation/configs/all_changed/convnext-tiny_upernet_8xb2-amp-160k_ade20k-512x512.py"
                // "/root/mmlab/mmsegmentation/configs/all_changed/upernet_r18_4xb4-160k_ade20k-512x512.py"
                "/root/mmlab/mmsegmentation/configs/all_changed/convnext-tiny_upernet_8xb2-amp-160k_ade20k-512x512.py"
            ]
        }
    ]
}

或用test插件

配置如图所示settings.json
获得如下效果