initial upload

__init__.py

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+import torch
+import torchvision
+from torchvision import transforms
+from torch import Tensor
+
+import pandas as pd
+from skimage import io
+import matplotlib.pyplot as plt
+from pathlib import Path
+
+# Ignore warnings
+import warnings
+warnings.filterwarnings("ignore")
+
+plt.ion()   # interactive mode
+    
+class MORRIS(torch.utils.data.Dataset):
+    _storage_csv='morris.csv'
+    _storage_jpg='jpgs'
+    def __init__(self,root=Path(__file__).parent,transform=False):
+        self.storage = Path(root)
+        self.transform = transform
+        self.index = pd.read_csv(self.storage / self._storage_csv)
+    
+    def __len__(self):
+        return len(self.index)
+    
+    def __getitem__(self,idx):
+        item = self.index.iloc[idx].to_dict()
+        image = io.imread(self.storage / self._storage_jpg / self.index.iloc[idx].filename)
+    
+        if self.transform:
+            image = self.transform(image)
+        
+        item['image'] = image
+        return item
+    
+    def showitem(self,idx):
+        plt.imshow(transforms.ToPILImage()(self.__getitem__(idx)['image']))
+    
+    def _self_validate(self):
+        """try loading each image in the dataset"""
+        allgood=True
+        for idx in range(len(self)):
+            try:
+                self[idx]
+            except:
+                allgood=False
+                print(f"couldn't load {self.index.iloc[idx].filename}")
+        if allgood:
+            print(f"All Good! Loaded {len(self)} images.")
+
+class Deframe(object):
+    """check for uniform color boundaries on edges of input and crop them away"""
+    
+    def __init__(self,aggressive=False,maxPixelFrame=20):
+        self.alpha = 0.1 if aggressive else 0.01
+        self.maxPixelFrame = maxPixelFrame
+    
+    def _map2idx(self,frameMap):
+        try:
+            return frameMap.tolist().index(False)
+        except ValueError:
+            return self.maxPixelFrame
+    
+    def _Border(self,img: Tensor):
+        """ take greyscale Tensor
+            return left,right,top,bottom border size identified """
+        top = left = right = bottom = 0
+        
+        # expected image variance
+        hvar,wvar = torch.mean(torch.var(img,dim=0)), torch.mean(torch.var(img,dim=1))
+        
+        # use image variance and alpha to identify too-uniform frame borders
+        top = torch.var(img[:self.maxPixelFrame,:],dim=1) < wvar*(1+self.alpha)
+        top = self._map2idx(top)
+        
+        bottom = torch.var(img[-self.maxPixelFrame:,:],dim=1) < wvar*(1+self.alpha)
+        bottom = self._map2idx(bottom)
+        
+        left = torch.var(img[:,:self.maxPixelFrame],dim=0) < hvar*(1+self.alpha)
+        left = self._map2idx(left)
+        
+        right = torch.var(img[:,-self.maxPixelFrame:],dim=0) < hvar*(1+self.alpha)
+        right = self._map2idx(right)
+        
+        return (top,bottom,right,left)
+    
+    def __call__(self,img: Tensor):
+        top,bottom,right,left = self._Border(torchvision.transforms.Grayscale()(img)[0])
+        
+        height = img.shape[1]-(top+bottom)
+        width  = img.shape[2]-(left+right)
+        
+        print(f"t{top} b{bottom} l{left} r{right}")
+        
+        return torchvision.transforms.functional.crop(img,top,left,height,width) 

morris.csv

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+year,name,filename
+1862,Fruit-Blue,1862-Fruit-Blue.jpg
+1862,Fruit,1862-Fruit.jpg
+1862,Trellis-Green,1862-Trellis-Green.jpg
+1862,Trellis,1862-Trellis.jpg
+1866,St-James-Palace,1866-St-James-Palace.jpg
+1872,Jasmine,1872-Jasmine.jpg
+1872,Larkspur,1872-Larkspur.jpg
+1873,Vine,1873-Vine.jpg
+1875,Acanthus-Red,1875-Acanthus-Red.jpg
+1875,MarigoldBlue,1875-Marigold-Blue.jpg
+1875,Marigold,1875-Marigold.jpg
+1875,Tulip,1875-Tulip.jpg
+1876,Anemone,1876-Anemone.jpg
+1876,Pimpernel,1876-Pimpernel.jpg
+1876,Wreath,1876-Wreath.jpg
+1877,Chrysanthemum,1877-Chrysanthemum.jpg
+1877,Snakeshead,1877-Snakeshead.jpg
+1883,May-Honeysuckle,1883-May-Honeysuckle.jpg
+1883,Strawberry-Theif,1883-Strawberry-Theif.jpg
+1884,Chintz-the-Wandle,1884-Chintz-the-Wandle.jpg
+1884,Chintz-the-Wey,1884-Chintz-the-Wey.jpg
+1884,Wild-Tulip-Yellow,1884-Wild-Tulip-Yellow.jpg
+1884,Wild-Tulip,1884-Wild-Tulip.jpg
+1887,Birds-Small,1887-Birds-Small.jpg
+1887,Birds,1887-Birds.jpg
+1887,Cherwell,1887-Cherwell.jpg
+1887,Willow-Bough-Blue-Gold,1887-Willow-Bough-Blue-Gold.jpg
+1887,Willow-Bough,1887-Willow-Bough.jpg
+1888,Trent,1888-Trent.jpg
+1890,Acanthus-Portiere,1890-Acanthus-Portiere.jpg
+1890,Pink-and-Rose,1890-Pink-and-Rose.jpg
+1892,Dearl-Blackthorn,1892-Dearl-Blackthorn.jpg
+1883,Holland-Park-Carpet,1883-Holland-Park-Carpet.jpg