Loading CHANGELOG.md +1 −0 Original line number Diff line number Diff line Loading @@ -36,6 +36,7 @@ release. ### Fixed - Errors when importing sensor model in `overlap.py` - Dealt with None values trying to be converted to a shapely point in `centroids.py` - Dealt with Key Error when finding file paths in the network nodes. ## [1.1.0] ### Added Loading autocnet/graph/network.py +1 −2 Original line number Diff line number Diff line Loading @@ -2225,8 +2225,7 @@ class NetworkCandidateGraph(CandidateGraph): flistpath = os.path.splitext(path)[0] + '.lis' target = self.config['spatial'].get('target', None) ids = df['imageid'].unique() fpaths = [self.nodes[i]['data']['image_path'] for i in ids] fpaths = [str(path) for path in self.nodes] for f in self.files: if f not in fpaths: log.warning(f'{f} in candidate graph but not in output network.') Loading Loading
CHANGELOG.md +1 −0 Original line number Diff line number Diff line Loading @@ -36,6 +36,7 @@ release. ### Fixed - Errors when importing sensor model in `overlap.py` - Dealt with None values trying to be converted to a shapely point in `centroids.py` - Dealt with Key Error when finding file paths in the network nodes. ## [1.1.0] ### Added Loading
autocnet/graph/network.py +1 −2 Original line number Diff line number Diff line Loading @@ -2225,8 +2225,7 @@ class NetworkCandidateGraph(CandidateGraph): flistpath = os.path.splitext(path)[0] + '.lis' target = self.config['spatial'].get('target', None) ids = df['imageid'].unique() fpaths = [self.nodes[i]['data']['image_path'] for i in ids] fpaths = [str(path) for path in self.nodes] for f in self.files: if f not in fpaths: log.warning(f'{f} in candidate graph but not in output network.') Loading