Open githubnameoo opened 1 month ago
If you'd like to solely pass a text-prompt or an image-prompt for guidance (instead of a 3D geometry) then you have 2 main options:
Feel free to take a look at each individual functions and they should guide you for next steps!
After changing text_input to True and running it using CLIP, I encountered the following problem:
Traceback (most recent call last):
File "main.py", line 92, in
After CLIP_embeddings=True, the code did not assign a value to fclip. Can you tell me how to modify text_input=True and CLIP_embedding=True to achieve text generation mesh?
In loop 73, when we set use_target_mesh=false, we are unable to conduct further training text_input, image_input, fashion_image, fashion_text, use_target_mesh = True, False, False, False, False
Traceback (most recent call last): File "main.py", line 92, in main() File "main.py", line 88, in main loop(cfg) File "/home/jingyiwu/Garment3DGen/loop.py", line 365, in loop target_features = fclip.encode_image_tensors(train_target_render) UnboundLocalError: local variable 'train_target_render' referenced before assignment
But I have found that train_target_dender can only be used when use_target is true, in loop 287
if use_target_mesh:
final_target_mesh = render_target_mesh.eval(params_camera)
train_target_render = render.render_mesh(
glctx,
final_target_mesh,
params_camera['mvp'],
params_camera['campos'],
params_camera['lightpos'],
cfg.light_power,
cfg.train_res,
spp=1,
num_layers=1,
msaa=False,
background=params_camera['bkgs']
).permute(0, 3, 1, 2)
train_target_render = resize(train_target_render, out_shape=(224, 224), interp_method=resize_method)
How to generate 3D clothing based on text or images, what are the running instructions? text_input, image_input, fashion_image, fashion_text, use_target_mesh = False, False, False, False, True How to set the text and image