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如题,在gfp_FaceEnhancement.py里,https://paddlegan.bj.bcebos.com/models/GFPGAN.pdparams 不包含net_g_ema键,导致初始化报错。打印所有键发现只有net_g,使用net_g进行增强后发现效果不佳,是否可以更新一下预训练模型?
The text was updated successfully, but these errors were encountered:
我和你遇到了同样的问题,预测出来的图片泛紫泛蓝。对结果尝试了更换通道img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR),结果没有变化。 最后我发现需要两次的更换通道,既在输入图片进行预测之前进行一次,对结果也进行一次,预测结果是正常的。
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
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jerrywgz
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如题,在gfp_FaceEnhancement.py里,https://paddlegan.bj.bcebos.com/models/GFPGAN.pdparams 不包含net_g_ema键,导致初始化报错。打印所有键发现只有net_g,使用net_g进行增强后发现效果不佳,是否可以更新一下预训练模型?
The text was updated successfully, but these errors were encountered: