moving files

q1/03nov/main.py

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+from umage import load, save, show_image
+from math import atan2, cos 
+
+def grayscale(img_mat):
+    """Transform an image into gray
+
+    :img_mat: image en entree
+    :returns: grayscale de limage em entree
+
+    """
+    new_matrix = list()
+    for row in range(len(img_mat)):
+        new_matrix.append(list())
+        for column in img_mat[row]:
+            _r, _g, _b = column
+            gray = round(0.2125 * _r + 0.7154 * _g + 0.0721 * _b)
+            new_matrix[row].append((gray, gray, gray))
+
+    return new_matrix
+
+def convolution(img_mat, mat):
+    """effectue le passage d'une matrice de convolution sur une image grise
+    TODO: image de couleurs
+
+    :img_mat: image en entree
+    :mat: matrice de convolution
+    :returns: image retouchee
+
+    """
+
+    new_matrix = list()
+    for row in range(len(img_mat)):
+        new_matrix.append(list())
+        for column in range(len(img_mat[row])):
+            # _gray = img_mat[row][column][0]
+            _sum = 0
+            for mat_row in range(len(mat)):
+                for mat_column in range(len(mat[mat_row])):
+                    diff_row = mat_row - len(mat)//2
+                    diff_col = mat_column - len(mat[mat_column])//2
+                    if dans_image(img_mat, row+diff_row, column+ diff_col):
+                        _sum += mat[mat_row][mat_column] * img_mat[row + diff_row][column + diff_col][0]
+            new_matrix[row].append((_sum, _sum, _sum))
+    return new_matrix
+
+def dans_image(img_mat, row, col):
+    if row < len(img_mat)-1 and row > 0 and col < len(img_mat[0])-1 and col > 0:
+        return True
+    return False
+
+def calculate_direction(img1, img2):
+    """Calculate the image direction of 2 image that has been trough gx and gy of phobels formula
+
+    :img1: x image of fobel 
+    :img2: y image of fobel 
+    :returns: matrix of direction 
+
+    """
+    res = list()
+    for row in range(len(img1)):
+        res.append(list())
+        for col in range(len(img1[row])):
+            res[row].append(atan2(img2[row][col][0], img1[row][col][0]))
+    return res
+
+
+def dir_mat_to_img(mat):
+    """take a matrix with direction and transform it in image with direction hue """
+    res = list()
+    for row in range(len(mat)):
+        res.append(list())
+        for col in range(len(mat[row])):
+            res[row].append((round(256*cos(mat[row][col])), round(256*cos(mat[row][col] + 120)), round(256*cos(mat[row][col]  - 120))))
+    return res
+
+
+
+if __name__ == "__main__":
+    unit = [
+            [0, 1, 0],
+            [0, 0, 0],
+            [0, 0, 0]]
+    convolution1 = [
+            [-1, -1, -1],
+            [-1,  8, -1],
+            [-1, -1, -1]]
+    convolution2 = [
+            [-1, -1, -1],
+            [-1,  9, -1],
+            [-1, -1, -1]]
+    convolution3 = [
+            [-2, 0, 0],
+            [ 0, 1, 0],
+            [ 0, 0, 2]]
+
+    phobel1 = [
+            [ 1, 0, -1],
+            [ 2, 1, -2],
+            [ 1, 0, -1]]
+    phobel2 = [
+            [ 1, 2, 1],
+            [ 0, 0, 0],
+            [ -1, -2, -1]]
+
+    img = load('./myimg.jpg')
+    new_image = grayscale(img)
+    convolution(new_image, convolution2)
+    phob1_img = convolution(new_image, phobel1)
+    phob2_img = convolution(new_image, phobel2)
+    final = dir_mat_to_img(calculate_direction(phob2_img, phob1_img))
+    save(final, 'final2')