Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
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The value of 3DPW MPJPE coudn't reach to paper show in myself trained model #72
Hello, Thank you for your work, when I retraining the I2L model, In 3DPW Test Dataset, I couldn't reach the MPJPE value (95.4), my model is trained by 'MuCo', 'Human36M' and 'MSCOCO', the config is default in config.py, and My score is 101.26. Do I need update the config.py ? or Can you show the trainning method ?
Hello, Thank you for your work, when I retraining the I2L model, In 3DPW Test Dataset, I couldn't reach the MPJPE value (95.4), my model is trained by 'MuCo', 'Human36M' and 'MSCOCO', the config is default in config.py, and My score is 101.26. Do I need update the config.py ? or Can you show the trainning method ?
Thank you very much !