From 97d0a35a5d3900dd40977420b78feda4304bb162 Mon Sep 17 00:00:00 2001 From: anna-grim Date: Tue, 7 Nov 2023 06:37:09 +0000 Subject: [PATCH] black reformat --- src/data/Planetoid/Cora/processed/data.pt | Bin 15723071 -> 0 bytes .../Planetoid/Cora/processed/pre_filter.pt | Bin 437 -> 0 bytes .../Planetoid/Cora/processed/pre_transform.pt | Bin 443 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.allx | Bin 257305 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.ally | Bin 47959 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.graph | Bin 59847 -> 0 bytes .../Planetoid/Cora/raw/ind.cora.test.index | 1000 ----------------- src/data/Planetoid/Cora/raw/ind.cora.tx | Bin 148025 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.ty | Bin 28135 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.x | Bin 22119 -> 0 bytes src/data/Planetoid/Cora/raw/ind.cora.y | Bin 4054 -> 0 bytes .../deep_learning/datasets.py | 23 +- src/deep_neurographs/deep_learning/train.py | 16 +- src/deep_neurographs/densegraph.py | 30 +- src/deep_neurographs/feature_extraction.py | 10 +- src/deep_neurographs/geometry_utils.py | 2 +- src/deep_neurographs/intake.py | 3 - src/deep_neurographs/neurograph.py | 2 +- src/deep_neurographs/utils.py | 12 +- 19 files changed, 50 insertions(+), 1048 deletions(-) delete mode 100644 src/data/Planetoid/Cora/processed/data.pt delete mode 100644 src/data/Planetoid/Cora/processed/pre_filter.pt delete mode 100644 src/data/Planetoid/Cora/processed/pre_transform.pt delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.allx delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.ally delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.graph delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.test.index delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.tx delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.ty delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.x delete mode 100644 src/data/Planetoid/Cora/raw/ind.cora.y diff --git 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zx1_}~F`swxo91!X7){3M)Gr@gSp*gihZ(EXIRt(>RFljjV-`8#-fIAA=S)#=Hf%f$XpPe1+-IJFGwIFa{E z$ar!Zqv`N=UoVygpMKgqnvPlYaiY$r 15: return False - # elif ratio < 0.2: - # return False - - # Compare projected predicted path - proj_dists = [] - proj_nodes = set() - for xyz in make_line(pred_xyz_i, pred_xyz_j, len(target_path)): - proj_xyz, proj_d = self.get_projection(xyz) - swc = self.xyz_to_swc[tuple(proj_xyz)] - proj_nodes.add(self.xyz_to_node[swc][tuple(proj_xyz)]) - proj_dists.append(proj_d) - - return True + else: + return True diff --git a/src/deep_neurographs/feature_extraction.py b/src/deep_neurographs/feature_extraction.py index 03784f4..59df17a 100644 --- a/src/deep_neurographs/feature_extraction.py +++ b/src/deep_neurographs/feature_extraction.py @@ -52,14 +52,14 @@ def generate_mutable_features( """ features = {"skel": generate_mutable_skel_features(neurograph)} - if img_path and img_profile: - features["img"] = generate_mutable_img_profile_features( - neurograph, img_path, anisotropy=anisotropy - ) - elif img_path and not img_profile: + if img_path and labels_path: features["img"] = generate_mutable_img_chunk_features( neurograph, img_path, labels_path, anisotropy=anisotropy ) + elif img_path and img_profile: + features["img"] = generate_mutable_img_profile_features( + neurograph, img_path, anisotropy=anisotropy + ) return features diff --git a/src/deep_neurographs/geometry_utils.py b/src/deep_neurographs/geometry_utils.py index d18f691..47b22fd 100644 --- a/src/deep_neurographs/geometry_utils.py +++ b/src/deep_neurographs/geometry_utils.py @@ -143,7 +143,7 @@ def get_profile( def fill_path(img, path, val=-1): for xyz in path: x, y, z = tuple(np.round(xyz).astype(int)) - img[x - 1 : x + 1, y - 1 : y + 1, z - 1 : z + 1] = val + img[(x - 1) : x + 1, (y - 1) : y + 1, (z - 1) : z + 1] = val return img diff --git a/src/deep_neurographs/intake.py b/src/deep_neurographs/intake.py index 8598226..86a6fd4 100644 --- a/src/deep_neurographs/intake.py +++ b/src/deep_neurographs/intake.py @@ -10,9 +10,6 @@ import os -import torch -from torch_geometric.data import Data - from deep_neurographs import s3_utils, swc_utils, utils from deep_neurographs.neurograph import NeuroGraph diff --git a/src/deep_neurographs/neurograph.py b/src/deep_neurographs/neurograph.py index 80711c5..d496ae9 100644 --- a/src/deep_neurographs/neurograph.py +++ b/src/deep_neurographs/neurograph.py @@ -308,7 +308,7 @@ def init_targets(self, target_neurograph): proj_xyz_j, d_j = target_neurograph.get_projection(xyz_j) # Check criteria - if d_i > 9 or d_j > 9: + if d_i > 8 or d_j > 8: continue elif self.check_cycle((i, j)): continue diff --git a/src/deep_neurographs/utils.py b/src/deep_neurographs/utils.py index 3ed529e..e63b2fb 100644 --- a/src/deep_neurographs/utils.py +++ b/src/deep_neurographs/utils.py @@ -133,18 +133,18 @@ def open_tensorstore(path): def read_img_chunk(img, xyz, shape): return img[ - xyz[2] - shape[2] // 2 : xyz[2] + shape[2] // 2, - xyz[1] - shape[1] // 2 : xyz[1] + shape[1] // 2, - xyz[0] - shape[0] // 2 : xyz[0] + shape[0] // 2, + (xyz[2] - shape[2] // 2) : xyz[2] + shape[2] // 2, + (xyz[1] - shape[1] // 2) : xyz[1] + shape[1] // 2, + (xyz[0] - shape[0] // 2) : xyz[0] + shape[0] // 2, ].transpose(2, 1, 0) def read_tensorstore(ts_arr, xyz, shape): arr = ( ts_arr[ - xyz[0] - shape[0] // 2 : xyz[0] + shape[0] // 2, - xyz[1] - shape[1] // 2 : xyz[1] + shape[1] // 2, - xyz[2] - shape[2] // 2 : xyz[2] + shape[2] // 2, + (xyz[0] - shape[0] // 2) : xyz[0] + shape[0] // 2, + (xyz[1] - shape[1] // 2) : xyz[1] + shape[1] // 2, + (xyz[2] - shape[2] // 2) : xyz[2] + shape[2] // 2, ] .read() .result()