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Usage
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r_precision.py
For prompt seperation
--text is for the prompt following the author of stable dream fusion
--workspace is the workspace folder which will be created for every prompt fed into stable dreamfusion
--latest is which ckpt is used. Stable dream fusion record every epoch data. Normally is ep0100 unless the training is not finished or we further extend the training
--mode has choices of rgb and depth which is correspondent to color and texture result as original paper Figure 5: Qualitative comparison with baselines.
--clip has choices of clip-ViT-B-32, CLIP B/16, CLIP L/14, same as original paperpython Prompt.py --text "matte painting of a castle made of cheesecake surrounded by a moat made of ice cream" --workspace ../castle --latest ep0100 --mode rgb --clip clip-ViT-B-32
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Prompt.py (model name case sensitive)
For prompt seperation
--text is for the prompt following the author of stable dream fusion
--model is for choose the pretrain modelspython Prompt.py --text "a dog is in front of a rabbit" --model vlt5 python Prompt.py --text "a dog is in front of a rabbit" --model bert python Prompt.py --text "a dog is in front of a rabbit" --model XLNet
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mesh_to_video.py
--center_obj IS THE CENTER OBJECT
--surround_obj IS THE SURROUNDING OBJECT SUBJECT TO CHANGE
--transform_vector THE X Y Z 3d vector for transformpython mesh_to_video.py --center_obj 'mesh_whiterabbit/mesh.obj' --surround_obj 'mesh_snake/mesh.obj' --transform_vector [1,0,0]
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evaluation
Folders and files
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