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Functions1,505 in github.com/CSAILVision/gandissect

⨍ Functions 1,505◇ Types & classes 131↳ Endpoints 3
↓ 1 callersFunctionformatMilliseconds
(d, p)
client_dist/vendor.js:23159
↓ 1 callersFunctionformatUTCMilliseconds
(d, p)
client_dist/vendor.js:23233
↓ 1 callersFunctionformatValue
(text)
client_dist/vendor.js:4526
↓ 1 callersMethodforward
(self, x)
netdissect/proggan.py:117
↓ 1 callersMethodgenerateFeaturesLocal
(project: string, ids: number[], layers: string[],
client/ts/api/GanterAPI.ts:280
↓ 1 callersMethodgenerateFeaturesLocal
(project, ids, layers, masks, ablations = [])
client_dist/ganclient.js:310
↓ 1 callersMethodgenerateImgsWithInterventions
(project, ids, interventions, wantz = 0, return_urls = 0)
client_dist/ganclient.js:262
↓ 1 callersFunctiongenerate_images
Creates an image strip file for every unit of every retained layer of the model, in the format [outdir]/[layername]/[unitnum]-top.jpg. As
netdissect/dissection.py:502
↓ 1 callersFunctiongenerate_report
Creates dissection.json reports and summary bargraph.svg files in the specified output directory, and copies a dissection.html interface
netdissect/dissection.py:174
↓ 1 callersFunctionget_all_highest_znums
(model, z_universe, size, batch_size=10, seed=1)
netdissect/tool/allunitsample.py:80
↓ 1 callersMethodget_featuremaps
(self, ids, layers, interventions)
netdissect/serverstate.py:165
↓ 1 callersMethodget_features
(self, ids, masks, layers, interventions)
netdissect/serverstate.py:151
↓ 1 callersFunctionget_highest_znums
(model, z_universe, max_units, size, batch_size=100, seed=1)
netdissect/tool/makesample.py:100
↓ 1 callersMethodget_label_and_category_names
(self)
netdissect/dissection.py:1536
↓ 1 callersMethodget_levels
(self, layer, quantiles)
netdissect/serverstate.py:90
↓ 1 callersMethodget_rankings
(self, layer)
netdissect/serverstate.py:78
↓ 1 callersMethodget_units
(self, layer)
netdissect/serverstate.py:63
↓ 1 callersMethodget_z
(self, id)
netdissect/serverstate.py:41
↓ 1 callersMethodget_zs
(self, size)
netdissect/serverstate.py:33
↓ 1 callersFunctiongraticule
()
client_dist/vendor.js:8599
↓ 1 callersFunctionhierarchy
(data, children)
client_dist/vendor.js:11364
↓ 1 callersFunctionhslConvert
(o)
client_dist/vendor.js:2983
↓ 1 callersFunctionimg2base64
Converts a numpy array to a jpeg base64 url
netdissect/serverstate.py:480
↓ 1 callersFunctionin_notebook
True if running inside a Jupyter notebook.
netdissect/progress.py:28
↓ 1 callersFunctionindex_has_any_data
(row, categories)
netdissect/broden.py:167
↓ 1 callersFunctioninferColumns
(rows)
client_dist/vendor.js:4432
↓ 1 callersFunctioninherit
(node, id)
client_dist/vendor.js:24484
↓ 1 callersFunctioninitial_ablation
(args, dissectdir)
netdissect/aceoptimize.py:464
↓ 1 callersFunctioninitializeForce
(force)
client_dist/vendor.js:5929
↓ 1 callersFunctioninterval
(date)
client_dist/vendor.js:23584
↓ 1 callersFunctioninvert
(point)
client_dist/vendor.js:10296
↓ 1 callersFunctionis_image_file
(path)
netdissect/parallelfolder.py:73
↓ 1 callersFunctionis_npy_file
(path)
netdissect/parallelfolder.py:70
↓ 1 callersFunctionisorings
(values, value, callback)
client_dist/vendor.js:3607
↓ 1 callersFunctionleafLeft
(node)
client_dist/vendor.js:11098
↓ 1 callersFunctionleafRight
(node)
client_dist/vendor.js:11104
↓ 1 callersFunctionleastCommonAncestor
(a, b)
client_dist/vendor.js:11504
↓ 1 callersFunctionlengthPoint
(lambda, phi)
client_dist/vendor.js:8808
↓ 1 callersMethodlevels
(self, layer, quantiles)
netdissect/serverstate.py:342
↓ 1 callersMethodlevels
(project, layer, q = 0.99)
client_dist/ganpaint.js:270
↓ 1 callersMethodlevels
(project, layer, q = 0.99)
client_dist/ganclient.js:215
↓ 1 callersFunctionlineEnd
()
client_dist/vendor.js:7964
↓ 1 callersFunctionlineRadial
(l)
client_dist/vendor.js:21596
↓ 1 callersFunctionlineStart
()
client_dist/vendor.js:7959
↓ 1 callersFunctionlinearish
(scale)
client_dist/vendor.js:16830
↓ 1 callersFunctionload_conditional_quantile_if_present
(outdir, filename)
netdissect/dissection.py:1290
↓ 1 callersFunctionload_covariance_if_present
(outdir, filename, device)
netdissect/dissection.py:1307
↓ 1 callersFunctionload_npy_if_present
(outdir, filename, device)
netdissect/dissection.py:1266
↓ 1 callersFunctionload_projects
searches for CONFIG_FILE_NAME in all subdirectories of directory and creates data handlers for all of them :param directory: scan direct
netdissect/server.py:126
↓ 1 callersFunctionload_quantile_if_present
(outdir, filename, device)
netdissect/serverstate.py:371
↓ 1 callersFunctionload_quantile_if_present
(outdir, filename, device)
netdissect/dissection.py:1281
↓ 1 callersFunctionload_segmentation_model
(modeldir, segmodel_arch, segvocab, epoch=None)
netdissect/segmenter.py:509
↓ 1 callersFunctionload_topk_if_present
(outdir, filename, device)
netdissect/dissection.py:1298
↓ 1 callersFunctionload_unified_parsing_segmentation_model
(segmodel_arch, segvocab, epoch)
netdissect/segmenter.py:483
↓ 1 callersFunctionload_url
(url, model_dir='./pretrained', map_location=None)
netdissect/upsegmodel/resnext.py:175
↓ 1 callersFunctionload_url
(url, model_dir='./pretrained', map_location=None)
netdissect/segmodel/resnext.py:174
↓ 1 callersFunctionmain
()
netdissect/aceoptimize.py:28
↓ 1 callersFunctionmain
()
netdissect/__main__.py:30
↓ 1 callersFunctionmain
()
netdissect/evalablate.py:37
↓ 1 callersFunctionmain
()
netdissect/acesummarize.py:7
↓ 1 callersFunctionmain
()
netdissect/fullablate.py:37
↓ 1 callersFunctionmain
()
netdissect/aceplotablate.py:7
↓ 1 callersFunctionmain
()
netdissect/tool/ganseg.py:18
↓ 1 callersFunctionmain
()
netdissect/tool/allunitsample.py:16
↓ 1 callersFunctionmain
()
netdissect/tool/makesample.py:15
↓ 1 callersFunctionmake_empty
(k)
netdissect/broden.py:147
↓ 1 callersFunctionmake_parallel_dataset
Returns [(img1, img2), (img1, img2)..]
netdissect/parallelfolder.py:94
↓ 1 callersFunctionmake_svg_bargraph
(labels, heights, categories, barheight=100, barwidth=12, show_labels=True, filename=None)
netdissect/dissection.py:1371
↓ 1 callersFunctionmark_job_done
(directory)
netdissect/pidfile.py:17
↓ 1 callersFunctionmask_border
Given a mask computes a border mask
netdissect/actviz.py:100
↓ 1 callersFunctionmaxY
(children)
client_dist/vendor.js:11090
↓ 1 callersFunctionmeanX
(children)
client_dist/vendor.js:11082
↓ 1 callersFunctionmeasure_ablation
(segmenter, loader, model, classnum, layer, ordering)
netdissect/evalablate.py:178
↓ 1 callersFunctionmeasure_full_ablation
Quick and easy counting of segmented pixels reduced by ablating units.
netdissect/fullablate.py:191
↓ 1 callersFunctionmercatorProjection
(project)
client_dist/vendor.js:10417
↓ 1 callersMethodmost_common_conditions
(self, n)
netdissect/runningstats.py:499
↓ 1 callersFunctionmoveSubtree
(wm, wp, shift)
client_dist/vendor.js:12116
↓ 1 callersFunctionmultilabel_onehot
Converts a multilabel tensor into a onehot tensor. The input labels is a tensor of shape (samples, multilabels, y, x). The output is a t
netdissect/dissection.py:1241
↓ 1 callersFunctionmultiplex
(streams)
client_dist/vendor.js:9568
↓ 1 callersFunctionnap
()
client_dist/vendor.js:24284
↓ 1 callersFunctionnextAncestor
(vim, v, ancestor)
client_dist/vendor.js:12144
↓ 1 callersFunctionno_cp_units
()
client/ts/ganpaint.ts:396
↓ 1 callersFunctionno_cp_units
()
client_dist/ganpaint.js:953
↓ 1 callersFunctiononFunction
(id, name, listener)
client_dist/vendor.js:24966
↓ 1 callersFunctionone
(b)
client_dist/vendor.js:13355
↓ 1 callersFunctionpackEnclose
(circles)
client_dist/vendor.js:11848
↓ 1 callersFunctionparseRows
(text, f)
client_dist/vendor.js:4460
↓ 1 callersMethodpart_loss
(pred_part, gt_seg_part, gt_seg_object, object_label, valid)
netdissect/upsegmodel/models.py:37
↓ 1 callersMethodpart_pixel_acc
(pred_part, gt_seg_part, gt_seg_object, object_label, valid)
netdissect/upsegmodel/models.py:26
↓ 1 callersFunctionpartition
(root)
client_dist/vendor.js:11944
↓ 1 callersMethodpixel_acc
(self, pred, label)
netdissect/segmodel/models.py:15
↓ 1 callersFunctionpointRadians
(point)
client_dist/vendor.js:8536
↓ 1 callersFunctionpointRing
(lambda, phi)
client_dist/vendor.js:7969
↓ 1 callersFunctionpointish
(scale)
client_dist/vendor.js:16549
↓ 1 callersFunctionpolygonInside
()
client_dist/vendor.js:8192
↓ 1 callersFunctionpositionNode
(dy, n)
client_dist/vendor.js:11955
↓ 1 callersFunctionpow
()
client_dist/vendor.js:17177
↓ 1 callersMethodpredict_single_class
Given a batch of images (RGB, normalized to [-1...1]) and a specific segmentation class number, returns a tuple with (1) a
netdissect/segmenter.py:214
↓ 1 callersFunctionprojectionMutator
(projectAt)
client_dist/vendor.js:10276
↓ 1 callersFunctionrandomIrwinHall
(n)
client_dist/vendor.js:14863
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