tencent / censeoqoe Goto Github PK
View Code? Open in Web Editor NEWimage and video quality assessment
License: Other
image and video quality assessment
License: Other
这个具体怎么做?能给出个案例吗
运行 run.py 测试 test.jpg 时,加载的预训练模型为tensorflow的权重文件,结果仅为 [0.8325690031051636]
与给出的 [0.9316368103027344] 不一致
Hi shaoguo, thanks for ur great job!!!
Now, i have the MOS value of images but not DMOS, could i use this repo for IQA trainning? I wanna know if the DMOS value is necessary in trainning model. Looking forward to ur reply and thanks in advance!!!
Hi, It would help me if this page is in English language.
Sorry,
Thanks.
在使用train_code中inference.py使用UGC视频对应的pytorch预训练模型对项目中test_img进行无参照评分时出现负数,以下是输出结果
{"test.jpg": -3.90386700630188}
每个视频因为运动信息强弱,不同帧可能会有不同的质量,如果像Konvid这种单个打分的视频数据集,对视频帧都赋予同一个打分是不是不合理?请教下这个问题是否有解决办法。
如题
目前 Model Zoo 里提供下载的都是 nr 的模型,能否提供 fr 的预训练好的模型呢?谢谢!
模型效果符合预期,想在ugc模型里添加自己的标注数据,但数据量较少。作者可否提供一下ugc模型训练练数据或下载链接,多谢。
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