Specify min dependency and minor cleanups.
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4f9af8446c
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ca803a53c9
3 changed files with 2 additions and 7 deletions
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@ -122,7 +122,6 @@ def main():
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[f.opqueue.__init__([normalize, to8bit, rollingball, wat]) for f in files]
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[f.apply(dslice(f.opqueue,None,-1)) for f in files]
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# [(f.apply(f.opqueue), f.save(True, f.opqueue)) for f in files]
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window.init(files)
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window.reset()
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return True
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@ -53,7 +53,7 @@ class FILE:
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self.meta = pd.DataFrame(None if self.data[1]["data"][1:] == [] else self.data[1]["data"][1:], columns=self.data[1]["data"][0])
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self.meta.insert(loc=0, column="Label", value="".join([self.fname, self.fext]))
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spath = self.path.split(path.sep)
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if len(spath) > 2 and spath[-1] in ["BFP", "YFP"] and spath[-2][:-1].isdigit():
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if len(spath) > 2 and spath[-2][:-1].isdigit():
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hour, culture = self.path.split(path.sep)[-2:]
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hour = int(hour[:-1])
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else:
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@ -82,11 +82,7 @@ class FILE:
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if self.outlines is not None:
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imwrite(path.join(DIROUT, self.path, f"{self.fname}.outlines.jpg"), self.outlines)
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if self.meta is not None:
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print(path.join(DIROUT, self.path, f"{self.fname}.csv"))
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self.meta.to_csv(path.join(DIROUT, self.path, f"{self.fname}.csv"), index=False)
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# [l.insert(1, self.getName(False, {})) for l in self.meta["data"][1:]]
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# with open(path.join(DIROUT, self.path, f"{self.fname}.csv"), "w") as f:
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# [f.write(",".join([str(e) for e in l]) + "\n") for l in self.meta["data"]]
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else:
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if not path.exists(path.join(DIRCACHE, self.path)):
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makedirs(path.join(DIRCACHE, self.path))
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@ -1,5 +1,5 @@
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numpy
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opencv-python == 4.3.0
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pythreshold
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scikit-image
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scikit-image >= 0.18.1
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scipy
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