MCPcopy Create free account

hub / github.com/KIMGEONUNG/VideoFrom3D / functions

Functions1,203 in github.com/KIMGEONUNG/VideoFrom3D

⨍ Functions 1,203◇ Types & classes 228
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/data_mono.py:543
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/diml_outdoor_test.py:48
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/sun_rgbd_loader.py:48
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/hypersim.py:68
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/ddad.py:51
↓ 2 callersMethodto_tensor
(self, pic)
src/flux/annotator/zoe/zoedepth/data/diml_indoor_test.py:51
↓ 2 callersMethodunfreeze
(self)
src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:247
↓ 2 callersFunctionunique_pixels
Find unique pixel values in an image tensor and return their RGB values, counts, and inverse indices. Args: image (torch.Tensor): Im
training_ggi/noise_warp.py:14
↓ 2 callersFunctionupdate_model_with_lora
(model, checkpoint, lora_weight, device)
sag_generate_anchor_view.py:338
↓ 2 callersMethodupdate_model_with_lora
(self, checkpoint, lora_weight)
src/flux/xflux_pipeline.py:121
↓ 2 callersMethodupdate_model_with_lora
(self, checkpoint, lora_weight)
src/flux/my_xflux_pipeline.py:122
↓ 2 callersMethodvalidate
(self)
src/flux/annotator/zoe/zoedepth/trainers/base_trainer.py:259
↓ 2 callersFunctionzero_module
(module)
src/flux/controlnet.py:27
↓ 1 callersFunctionWarp
(x, c, mask_dilation=(5, 8 + 4))
sag_generate_anchor_view.py:485
↓ 1 callersMethod__init__
(self, transformer, controlnet)
mypipes/pipe_nointp_control.py:72
↓ 1 callersMethod__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, opt
src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:55
↓ 1 callersMethod__init__
( self, head, features=256, backbone="vitb_rn50_384", readout="project
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/dpt_depth.py:31
↓ 1 callersMethod__init__
Compute log binomial distribution for n_classes Args: n_classes (int, optional): number of output classes. Defaults to 256.
src/flux/annotator/zoe/zoedepth/models/layers/dist_layers.py:37
↓ 1 callersMethod__init__
Attractor layer for bin centers. Bin centers are bounded on the interval (min_depth, max_depth)
src/flux/annotator/zoe/zoedepth/models/layers/attractor.py:61
↓ 1 callersMethod__init__
( self, head, features=256, backbone="vitb_rn50_384", readout="project
src/flux/annotator/midas/midas/dpt_depth.py:27
↓ 1 callersMethod__repr__
(self)
src/flux/api.py:21
↓ 1 callersMethod_create_ord_label
(self, gt)
src/flux/annotator/zoe/zoedepth/trainers/loss.py:144
↓ 1 callersFunction_fix_aspect_ratio
Extend the scale to match the given aspect ratio. Args: scale (np.ndarray): The image scale (w, h) in shape (2, ) aspect_ratio (f
src/flux/annotator/dwpose/onnxpose.py:149
↓ 1 callersMethod_forward_impl
(self, x)
src/flux/annotator/mlsd/models/mbv2_mlsd_tiny.py:218
↓ 1 callersMethod_forward_impl
(self, x)
src/flux/annotator/mlsd/models/mbv2_mlsd_large.py:218
↓ 1 callersFunction_get_t5_prompt_embeds
( tokenizer: T5Tokenizer, text_encoder: T5EncoderModel, prompt: Union[str, List[str]], num_vid
training_ggi/text_encoder/text_encoder.py:7
↓ 1 callersMethod_infer
Inference interface for the model Args: x (torch.Tensor): input tensor of shape (b, c, h, w) Returns:
src/flux/annotator/zoe/zoedepth/models/depth_model.py:47
↓ 1 callersMethod_initFilter
(self)
src/flux/annotator/tile/guided_filter.py:164
↓ 1 callersMethod_initFilter
(self)
src/flux/annotator/tile/guided_filter.py:203
↓ 1 callersFunction_is_numpy_image
(img)
src/flux/annotator/zoe/zoedepth/data/data_mono.py:60
↓ 1 callersFunction_is_pil_image
(img)
src/flux/annotator/zoe/zoedepth/data/data_mono.py:56
↓ 1 callersMethod_load_cond
(self, images)
training_ggi/mydataset_depthhed_mask.py:182
↓ 1 callersMethod_load_image
(self, paths)
training_ggi/mydataset_depthhed_mask.py:149
↓ 1 callersMethod_load_pretrained_model
(self)
src/flux/annotator/mlsd/models/mbv2_mlsd_large.py:236
↓ 1 callersMethod_load_prompt
(self, path_root)
training_ggi/mydataset_depthhed_mask.py:144
↓ 1 callersFunction_make_efficientnet_backbone
(effnet)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:176
↓ 1 callersFunction_make_efficientnet_backbone
(effnet)
src/flux/annotator/midas/midas/blocks.py:88
↓ 1 callersFunction_make_levit_backbone
( model, hooks=[3, 11, 21], patch_grid=[14, 14] )
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/levit.py:23
↓ 1 callersFunction_make_next_vit_backbone
( model, hooks=[2, 6, 36, 39], )
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/next_vit.py:15
↓ 1 callersFunction_make_pretrained_beitb16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py:187
↓ 1 callersFunction_make_pretrained_beitl16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py:174
↓ 1 callersFunction_make_pretrained_beitl16_512
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/beit.py:157
↓ 1 callersFunction_make_pretrained_efficientnet_lite3
(use_pretrained, exportable=False)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:166
↓ 1 callersFunction_make_pretrained_efficientnet_lite3
(use_pretrained, exportable=False)
src/flux/annotator/midas/midas/blocks.py:78
↓ 1 callersFunction_make_pretrained_levit_384
(pretrained, hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/levit.py:99
↓ 1 callersFunction_make_pretrained_next_vit_large_6m
(hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/next_vit.py:32
↓ 1 callersFunction_make_pretrained_resnext101_wsl
(use_pretrained)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:202
↓ 1 callersFunction_make_pretrained_resnext101_wsl
(use_pretrained)
src/flux/annotator/midas/midas/blocks.py:114
↓ 1 callersFunction_make_pretrained_swin2b24_384
(pretrained, hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/swin2.py:16
↓ 1 callersFunction_make_pretrained_swin2l24_384
(pretrained, hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/swin2.py:6
↓ 1 callersFunction_make_pretrained_swin2t16_256
(pretrained, hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/swin2.py:26
↓ 1 callersFunction_make_pretrained_swinl12_384
(pretrained, hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/swin.py:6
↓ 1 callersFunction_make_pretrained_vitb16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py:111
↓ 1 callersFunction_make_pretrained_vitb16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/midas/midas/vit.py:310
↓ 1 callersFunction_make_pretrained_vitb_rn50_384
( pretrained, use_readout="ignore", hooks=None, use_vit_only=False )
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py:208
↓ 1 callersFunction_make_pretrained_vitb_rn50_384
( pretrained, use_readout="ignore", hooks=None, use_vit_only=False )
src/flux/annotator/midas/midas/vit.py:478
↓ 1 callersFunction_make_pretrained_vitl16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py:98
↓ 1 callersFunction_make_pretrained_vitl16_384
(pretrained, use_readout="ignore", hooks=None)
src/flux/annotator/midas/midas/vit.py:297
↓ 1 callersFunction_make_resnet_backbone
(resnet)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py:189
↓ 1 callersFunction_make_resnet_backbone
(resnet)
src/flux/annotator/midas/midas/blocks.py:101
↓ 1 callersFunction_make_vit_b_rn50_backbone
( model, features=[256, 512, 768, 768], size=[384, 384], hooks=[0, 1, 8, 11], vit_features
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/midas/backbones/vit.py:120
↓ 1 callersFunction_make_vit_b_rn50_backbone
( model, features=[256, 512, 768, 768], size=[384, 384], hooks=[0, 1, 8, 11], vit_features
src/flux/annotator/midas/midas/vit.py:343
↓ 1 callersMethod_noise_to_state
(noise)
assets/mk_noise.py:501
↓ 1 callersMethod_noise_to_state
(noise)
training_ggi/noise_warp.py:783
↓ 1 callersMethod_prepare_rotary_positional_embeddings
( self, height: int, width: int, num_frames: int, device: torch.device
mypipes/pipe_nointp_control.py:577
↓ 1 callersMethod_prepare_rotary_positional_embeddings
( self, height: int, width: int, num_frames: int, device: torch.device
mypipes/pipe_intp2.py:535
↓ 1 callersMethod_prepare_rotary_positional_embeddings
( self, height: int, width: int, num_frames: int, device: torch.device
mypipes/pipe_nointp.py:535
↓ 1 callersFunction_rotate_point
Rotate a point by an angle. Args: pt (np.ndarray): 2D point coordinates (x, y) in shape (2, ) angle_rad (float): rotation angle i
src/flux/annotator/dwpose/onnxpose.py:167
↓ 1 callersMethod_select_target
(self, path)
training_ggi/mydataset_depthhed_mask.py:132
↓ 1 callersMethod_state_to_noise
(state)
assets/mk_noise.py:505
↓ 1 callersMethod_state_to_noise
(state)
training_ggi/noise_warp.py:787
↓ 1 callersFunction_upSample
(I, scale=2, shape=None)
src/flux/annotator/tile/guided_filter.py:45
↓ 1 callersMethod_warp_state
(self, state, flow)
assets/mk_noise.py:508
↓ 1 callersMethod_warp_state
(self, state, flow)
training_ggi/noise_warp.py:790
↓ 1 callersFunction_xy_meshgrid
(h, w, device, dtype)
assets/mk_noise.py:188
↓ 1 callersFunction_xy_meshgrid
(h,w,device,dtype)
training_ggi/noise_warp.py:490
↓ 1 callersMethodallPermissionsGranted
(final int[] grantResults)
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:393
↓ 1 callersFunctionapply_min_size
Rezise the sample to ensure the given size. Keeps aspect ratio. Args: sample (dict): sample size (tuple): image size Returns
src/flux/annotator/zoe/zoedepth/data/transforms.py:55
↓ 1 callersFunctionapply_rope
(xq: Tensor, xk: Tensor, freqs_cis: Tensor)
src/flux/math.py:25
↓ 1 callersMethodattach_hooks
(self, midas)
src/flux/annotator/zoe/zoedepth/models/base_models/midas.py:298
↓ 1 callersMethodattention
(self, h_: Tensor)
src/flux/modules/autoencoder.py:37
↓ 1 callersMethodaugment_image
(self, image)
src/flux/annotator/zoe/zoedepth/data/data_mono.py:488
↓ 1 callersFunctionbbox_xyxy2cs
Transform the bbox format from (x,y,w,h) into (center, scale) Args: bbox (ndarray): Bounding box(es) in shape (4,) or (n, 4), formatted
src/flux/annotator/dwpose/onnxpose.py:115
↓ 1 callersMethodbuild
(midas_model_type="DPT_BEiT_L_384", pretrained_resource=None, use_pretrained_midas=False, train_midas=False, f
src/flux/annotator/zoe/zoedepth/models/zoedepth/zoedepth_v1.py:239
↓ 1 callersMethodbuild
(midas_model_type="DPT_BEiT_L_384", pretrained_resource=None, use_pretrained_midas=False, train_midas=False, f
src/flux/annotator/zoe/zoedepth/models/zoedepth_nk/zoedepth_nk_v1.py:322
↓ 1 callersFunctionc_crop
(image)
image_datasets/canny_dataset.py:21
↓ 1 callersFunctioncanny_processor
(image, low_threshold=100, high_threshold=200)
image_datasets/canny_dataset.py:12
↓ 1 callersFunctionch_channel_cnn
(transformer, ch_in)
myutils.py:66
↓ 1 callersFunctionch_channel_cnn
(transformer, ch_in)
training_ggi/myutils.py:66
↓ 1 callersFunctionch_cnn
(cnn, ch)
myutils.py:46
↓ 1 callersFunctionch_cnn
(cnn, ch)
training_ggi/myutils.py:46
↓ 1 callersFunctionch_linear
(linear, ch)
myutils.py:23
↓ 1 callersFunctionch_linear
(linear, ch)
training_ggi/myutils.py:23
↓ 1 callersMethodcheck_inputs
( self, image, prompt, height, width, negative_prompt,
mypipes/pipe_nointp_control.py:506
↓ 1 callersMethodcheck_inputs
( self, image, prompt, height, width, negative_prompt,
mypipes/pipe_intp2.py:464
↓ 1 callersMethodcheck_inputs
( self, image, prompt, height, width, negative_prompt,
mypipes/pipe_nointp.py:464
↓ 1 callersMethodchooseCamera
()
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraActivity.java:434
↓ 1 callersMethodcloseCamera
Closes the current {@link CameraDevice}.
src/flux/annotator/zoe/zoedepth/models/base_models/midas_repo/mobile/android/app/src/main/java/org/tensorflow/lite/examples/classification/CameraConnectionFragment.java:385
↓ 1 callersFunctioncolorcode2correspondence
(colorcode, bit=16)
sag_generate_anchor_view.py:448
↓ 1 callersFunctioncolorcode2correspondence
(colorcode, bit=16)
assets/mk_noise.py:550
← previousnext →201–300 of 1,203, ranked by callers