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JialeCao001 avatar JialeCao001 commented on June 25, 2024

Hi. I use the file of test_video.py to save the image results to ${SAVE_PATH} as follows.

python tools/test_video.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [--out ${RESULT_FILE}] --eval segm --show --save_path= ${SAVE_PATH}

Please update your code and model if you want to use this command. Is it okay for you?

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Xiaoqi-Zhao-DLUT avatar Xiaoqi-Zhao-DLUT commented on June 25, 2024

@JialeCao001 非常感谢你更新的vis code。很不错的工作!

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JialeCao001 avatar JialeCao001 commented on June 25, 2024

@Xiaoqi-Zhao-DLUT 谢谢。你们的工作也非常不错。

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Xiaoqi-Zhao-DLUT avatar Xiaoqi-Zhao-DLUT commented on June 25, 2024

@JialeCao001 你好,还想再问个问题。你是否用过除Youtube VIS这个数据集以外的,数据集进行训练过? 我想自己训一下自己的数据集,但不是很清楚该如何生成与Youtube VIS一样格式的train.json。 我看官网也没有提供生成的code.

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JialeCao001 avatar JialeCao001 commented on June 25, 2024

@Xiaoqi-Zhao-DLUT 我没有跑过其他数据集,不过感觉转成youtube-vis的json格式问题不大。youtube-vis评价需要json格式的结果,用到了results2json_videoseg这个函数。基于这个函数和youtube-vis的cocoapi,我觉得应该可以实现你的需求。

def results2json_videoseg(dataset, results, out_file):

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