Add resize file

resize.py

+from matplotlib import image
+import matplotlib.pyplot as plt
+import cv2
+import numpy as np
+
+
+if __name__ == '__main__':
+
+    choice = "low"
+
+    if choice == 'high':
+        camera = np.matrix([[1386.4138492513919, 0.0, 960.5],
+                            [0.0, 1386.4138492513919, 540.5],
+                            [0.0, 0.0, 1.0]])
+    else:
+        camera = np.matrix([[1086.5054444841007, 0.0, 640.5],
+                            [0.0, 1086.5054444841007, 360.5],
+                            [0.0, 0.0, 1.0]])
+
+    # resize image to 640*480
+    # The original size is 1280*720
+    # (640/1280 = 0.5), (480/720 = 2/3)
+    trans = np.matrix([[0.5, 0.0, 0.0],
+                       [0.0, (2 / 3), 0.0],
+                       [0.0, 0.0, 1.0]])
+
+    new_camera = trans @ camera
+
+    dataset_name = f"GUIMOD_{choice}"
+    new_size = (640, 480)
+
+    for i in range(4995):
+        rgb = cv2.resize(cv2.imread(f"{dataset_name}/RGB/{i}.png"), new_size)
+        cv2.imwrite(f"rgb/{i}.png", rgb)
+
+        mask = cv2.resize(cv2.imread(f"{dataset_name}/Mask/{i}.png"), new_size)
+        cv2.imwrite(f"mask/{i}.png", mask*255)
+
+        depth = cv2.resize(cv2.imread(f"{dataset_name}/Depth/{i}.tiff"), new_size)
+
+        banana_mask = cv2.resize(cv2.imread(f"{dataset_name}/Instance_Mask/Banana/{i}.png"), new_size)
+        cv2.imwrite(f"banana_mask/{i}.png", banana_mask*255)
+
+        orange_mask = cv2.resize(cv2.imread(f"{dataset_name}/Instance_Mask/Orange/{i}.png"), new_size)
+        cv2.imwrite(f"orange_mask/{i}.png", orange_mask*255)
+
+        Pear_mask = cv2.resize(cv2.imread(f"{dataset_name}/Instance_Mask/Pear/{i}.png"), new_size)
+        cv2.imwrite(f"pear_mask/{i}.png", Pear_mask*255)
+
+
+        print("Done")
+
+        # Check 2d bbox to resize it
+
+        # dataset_name = f"GUIMOD_low"
+        # new_size = (640, 480)
+        #
+        # img = cv2.resize(image.imread(f"{dataset_name}/RGB/0.png"), new_size)
+        # lis = [7.960000000000000000e+02, 1.980000000000000000e+02, 1.052000000000000000e+03, 3.560000000000000000e+02]
+        # cv2.rectangle(img, (int(lis[0] * 0.5), int(lis[1] * (2 / 3))), (int(lis[2] * 0.5), int(lis[3] * (2 / 3))),
+        #               (255, 0, 0), 2)
+        #
+        # plt.imshow(img)
+        # plt.show()