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我尝试根据Pose2ImagePipeline写了个stage 1的效果可视化,但是效果有点不尽如人意 整体可视化参考的是train_stage_1.py中的log_validation;使用的模型是pretrained_weights文件夹下的denoising_unet.pth、reference_unet.pth、pose_guider.pth;测试数据使用的是configs/inference下的数据,部分测试效果如下:
看这里的可视化效果,整体上感觉很容易出现背景的感觉,大佬有遇到类似的问题吗,还是我使用的模型有误。
The text was updated successfully, but these errors were encountered:
训练用的骨架图蓝色表示左腿,绿色为右腿,用颜色能区分出人体的正面和背面
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我尝试根据Pose2ImagePipeline写了个stage 1的效果可视化,但是效果有点不尽如人意
整体可视化参考的是train_stage_1.py中的log_validation;使用的模型是pretrained_weights文件夹下的denoising_unet.pth、reference_unet.pth、pose_guider.pth;测试数据使用的是configs/inference下的数据,部分测试效果如下:
看这里的可视化效果,整体上感觉很容易出现背景的感觉,大佬有遇到类似的问题吗,还是我使用的模型有误。
The text was updated successfully, but these errors were encountered: