Merge pull request #4 from xlang-ai/zhoujun/gimp

Fix triangle position evaluation script.
This commit is contained in:
Cheng
2024-01-30 14:45:09 +08:00
committed by GitHub

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@@ -276,14 +276,13 @@ def check_triangle_position(tgt_path):
img = Image.open(tgt_path)
img_array = np.array(img)
# We will determine if the triangle is in the middle of the picture by checking the centroid
# We assume the triangle is a different color from the background
# Find the unique colors
unique_colors = np.unique(img_array.reshape(-1, img_array.shape[2]), axis=0)
unique_colors, counts = np.unique(img_array.reshape(-1, img_array.shape[2]), axis=0, return_counts=True)
unique_colors_sorted = unique_colors[np.argsort(counts)]
# Assuming the background is the most common color and the triangle is a different color,
# we identify the triangle's color as the least common one
triangle_color = unique_colors[-1]
# Assuming the background is the most common color and the triangle is a different color
triangle_color = unique_colors_sorted[1]
# Create a mask where the triangle pixels are True
triangle_mask = np.all(img_array == triangle_color, axis=2)
@@ -502,3 +501,7 @@ if __name__ == "__main__":
src_path = "../../../cache/734d6579-c07d-47a8-9ae2-13339795476b/green_background_with_object.png"
tgt_path = "../../../cache/734d6579-c07d-47a8-9ae2-13339795476b/white_background_with_object.png"
print(check_green_background(src_path, tgt_path))
tgt_path = "../../../cache/f4aec372-4fb0-4df5-a52b-79e0e2a5d6ce/Triangle_In_The_Middle.png"
print(check_triangle_position(tgt_path))