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Types & classes13 in github.com/00why00/JoDiffusion

⨍ Functions 117◇ Types & classes 13

↓ 3 callersClassMask2Tensor

train_ae.py:264

↓ 2 callersClassADE20KSemantic

ADE20K dataset with captions and annotations.

dataset/ade20k_semantic.py:9

↓ 2 callersClassCOCOSemantic

COCO dataset with captions and annotations.

dataset/coco_semantic.py:10

↓ 2 callersClassEncodeBitMap

train_ae.py:268

↓ 2 callersClassVOCSemantic

CityScapes dataset with captions and annotations.

dataset/voc_semantic.py:9

↓ 1 callersClassImageLabelPipelineOutput

Output class for joint image-text pipelines. Args: images (`List[PIL.Image.Image]` or `np.ndarray`) List of denoised PIL

pipelines/pipeline_jodiffusion.py:27

↓ 1 callersClassJoDiffusionModel

pipelines/modeling_uvit.py:14

↓ 1 callersClassJoDiffusionPipeline

r""" Pipeline for a bimodal image-label model which supports unconditional joint image-label generation. This model inherits from [`Diffusion

pipelines/pipeline_jodiffusion.py:44

↓ 1 callersClassLayerNorm2d

pipelines/modeling_lightweight_vae.py:226

↓ 1 callersClassLightweightLabelVAEOutput

pipelines/modeling_lightweight_vae.py:15

↓ 1 callersClassMeanIoUEvaluator

validate/miou_evaluation.py:5

↓ 1 callersClassSegmentationLosses

pipelines/loss_segmentation.py:11

ClassLightweightLabelVAE

pipelines/modeling_lightweight_vae.py:20