MCPcopy Create free account

hub / github.com/cpath-ukk/grandqc / functions

Functions28 in github.com/cpath-ukk/grandqc

⨍ Functions 28◇ Types & classes 2
↓ 1 callersFunctionget_preprocessing
(image,preprocessing_fn)
01_WSI_inference_OPENSLIDE_QC/wsi_tis_detect_helper_fx.py:6
↓ 1 callersFunctionget_preprocessing
(image, preprocessing_fn, model_size)
01_WSI_inference_OPENSLIDE_QC/wsi_process.py:14
↓ 1 callersFunctionget_preprocessing
(image,preprocessing_fn)
02_WSI_inference_OME_TIFF_QC/wsi_tis_detect_helper_fx.py:6
↓ 1 callersFunctionget_preprocessing
(image, preprocessing_fn, model_size)
02_WSI_inference_OME_TIFF_QC/wsi_process.py:15
↓ 1 callersFunctionis_image
Is x an image? i.e. numpy array of 2 or 3 dimensions. :param x: Input. :return: True/False.
01_WSI_inference_OPENSLIDE_QC/wsi_stain_norm.py:5
↓ 1 callersFunctionis_image
Is x an image? i.e. numpy array of 2 or 3 dimensions. :param x: Input. :return: True/False.
02_WSI_inference_OME_TIFF_QC/wsi_stain_norm.py:5
↓ 1 callersFunctionis_uint8_image
Is x a uint8 image? :param x: Input. :return: True/False.
01_WSI_inference_OPENSLIDE_QC/wsi_stain_norm.py:20
↓ 1 callersFunctionis_uint8_image
Is x a uint8 image? :param x: Input. :return: True/False.
02_WSI_inference_OME_TIFF_QC/wsi_stain_norm.py:20
↓ 1 callersFunctionmake_1class_map_thr
(mask, class_colors)
01_WSI_inference_OPENSLIDE_QC/wsi_process.py:24
↓ 1 callersFunctionmake_1class_map_thr
(mask, class_colors)
02_WSI_inference_OME_TIFF_QC/wsi_process.py:24
↓ 1 callersFunctionmake_class_map
(mask, class_colors)
01_WSI_inference_OPENSLIDE_QC/wsi_tis_detect_helper_fx.py:12
↓ 1 callersFunctionmake_class_map
(mask, class_colors)
02_WSI_inference_OME_TIFF_QC/wsi_tis_detect_helper_fx.py:12
↓ 1 callersFunctionmake_overlay
(slide, wsi_heatmap_im, p_s, patch_n_w_l0, patch_n_h_l0, overlay_factor)
01_WSI_inference_OPENSLIDE_QC/wsi_maps.py:7
↓ 1 callersFunctionmake_overlay
(slide, wsi_heatmap_im, p_s, patch_n_w_l0, patch_n_h_l0, overlay_factor)
02_WSI_inference_OME_TIFF_QC/wsi_maps.py:7
↓ 1 callersFunctionmask_to_geojson
Convert a semantic segmentation mask to GeoJSON with coordinate scaling Parameters: ----------- mask_path : str Path to the
01_WSI_inference_OPENSLIDE_QC/wsi_process.py:129
↓ 1 callersFunctionmask_to_geojson
Convert a semantic segmentation mask to GeoJSON with coordinate scaling Parameters: ----------- mask_path : str Path to the
02_WSI_inference_OME_TIFF_QC/wsi_process.py:120
↓ 1 callersFunctionslide_info
(slide, m_p_s, mpp_model)
01_WSI_inference_OPENSLIDE_QC/wsi_slide_info.py:8
↓ 1 callersFunctionslide_info
(slide, m_p_s, mpp_model)
02_WSI_inference_OME_TIFF_QC/wsi_slide_info.py:8
↓ 1 callersFunctionslide_process_single
Tissue detection map is generated under MPP = 4, therefore model patch size of (512,512) corresponds to tis_det_map patch size of (128,128).
01_WSI_inference_OPENSLIDE_QC/wsi_process.py:38
↓ 1 callersFunctionslide_process_single
Tissue detection map is generated under MPP = 4, therefore model patch size of (512,512) corresponds to tis_det_map patch size of (128,128).
02_WSI_inference_OME_TIFF_QC/wsi_process.py:38
↓ 1 callersFunctionto_tensor_x
(x, **kwargs)
01_WSI_inference_OPENSLIDE_QC/wsi_tis_detect_helper_fx.py:3
↓ 1 callersFunctionto_tensor_x
(x, **kwargs)
01_WSI_inference_OPENSLIDE_QC/wsi_process.py:11
↓ 1 callersFunctionto_tensor_x
(x, **kwargs)
02_WSI_inference_OME_TIFF_QC/wsi_tis_detect_helper_fx.py:3
↓ 1 callersFunctionto_tensor_x
(x, **kwargs)
02_WSI_inference_OME_TIFF_QC/wsi_process.py:12
Method__init__
(self)
01_WSI_inference_OPENSLIDE_QC/wsi_stain_norm.py:38
Method__init__
(self)
02_WSI_inference_OME_TIFF_QC/wsi_stain_norm.py:38
Methodtransform
Transform image I to standard brightness. Modifies the luminosity channel such that a fixed percentile is saturated. :param
01_WSI_inference_OPENSLIDE_QC/wsi_stain_norm.py:41
Methodtransform
Transform image I to standard brightness. Modifies the luminosity channel such that a fixed percentile is saturated. :param
02_WSI_inference_OME_TIFF_QC/wsi_stain_norm.py:41