From 78bfdda45c191ed0b79c2ecb3a3ce3301f7cec59 Mon Sep 17 00:00:00 2001
From: Davide Tonelli <davide.tonelli8@studio.unibo.it>
Date: Sat, 23 Jul 2022 14:05:26 +0200
Subject: [PATCH 1/3] Script takes image path as input

---
 vision-env/src/vision-test.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/vision-env/src/vision-test.py b/vision-env/src/vision-test.py
index b9dbd9f..794f8da 100644
--- a/vision-env/src/vision-test.py
+++ b/vision-env/src/vision-test.py
@@ -1,19 +1,23 @@
 import io
 import os
+import sys
 
 # Imports the Google Cloud client library
 from google.cloud import vision
 
-# Instantiates a client
-client = vision.ImageAnnotatorClient()
+# User input from the command line
+image_path = sys.argv[1]
 
 # The name of the image file to annotate
-file_name = os.path.abspath('images/mmr.jpg')
+file_name = os.path.abspath(image_path)
 
 # Loads the image into memory
 with io.open(file_name, 'rb') as image_file:
     content = image_file.read()
 
+# Instantiates a client
+client = vision.ImageAnnotatorClient()
+
 image = vision.Image(content=content)
 
 # Performs label detection on the image file

From 8cf977887200043e00bf8a0f687ae2a30bc3c934 Mon Sep 17 00:00:00 2001
From: Davide Tonelli <davide.tonelli8@studio.unibo.it>
Date: Sat, 23 Jul 2022 15:22:32 +0200
Subject: [PATCH 2/3] Add target rectangular selection

---
 vision-env/src/vision-test.py | 63 +++++++++++++++++++++++++++++++++--
 1 file changed, 60 insertions(+), 3 deletions(-)

diff --git a/vision-env/src/vision-test.py b/vision-env/src/vision-test.py
index 794f8da..f4ce5eb 100644
--- a/vision-env/src/vision-test.py
+++ b/vision-env/src/vision-test.py
@@ -1,23 +1,80 @@
 import io
 import os
 import sys
+import cv2
 
 # Imports the Google Cloud client library
 from google.cloud import vision
 
+def shape_selection(event, x, y, flags, param):
+    # grab references to the global variables
+    global ref_point, crop
+  
+    # if the left mouse button was clicked, record the starting
+    # (x, y) coordinates and indicate that cropping is being performed
+    if event == cv2.EVENT_LBUTTONDOWN:
+        ref_point = [(x, y)]
+  
+    # check to see if the left mouse button was released
+    elif event == cv2.EVENT_LBUTTONUP:
+        # record the ending (x, y) coordinates and indicate that
+        # the cropping operation is finished
+        ref_point.append((x, y))
+  
+        # draw a rectangle around the region of interest
+        cv2.rectangle(image, ref_point[0], ref_point[1], (0, 255, 0), 2)
+        cv2.imshow("image", image)
+
 # User input from the command line
-image_path = sys.argv[1]
+image_name = sys.argv[1]
 
 # The name of the image file to annotate
-file_name = os.path.abspath(image_path)
+file_name = os.path.abspath(image_name)
+
+# Initialize the list of reference point
+ref_point = []
+crop = False
+  
+image = cv2.imread(file_name)
+clone = image.copy()
+cv2.namedWindow("image")
+cv2.setMouseCallback("image", shape_selection)
+   
+# keep looping until the 'q' key is pressed
+while True:
+    # display the image and wait for a keypress
+    cv2.imshow("image", image)
+    key = cv2.waitKey(1) & 0xFF
+  
+    # press 'r' to reset the window
+    if key == ord("r"):
+        image = clone.copy()
+  
+    # if the 'c' key is pressed, break from the loop
+    elif key == ord("c"):
+        break
+  
+if len(ref_point) == 2:
+    crop_img = clone[ref_point[0][1]:ref_point[1][1], ref_point[0][0]:
+                                                           ref_point[1][0]]
+    #cv2.imshow("crop_img", crop_img)   #uncomment --> show cropped image
+    cv2.waitKey(0)  #maybe useless
+    cv2.imwrite('copy1.jpg', crop_img)
+  
+# close all open windows
+cv2.destroyAllWindows() 
+
+# File used for label detection
+target_file = os.path.abspath('copy1.jpg')
 
 # Loads the image into memory
-with io.open(file_name, 'rb') as image_file:
+with io.open(target_file, 'rb') as image_file:
     content = image_file.read()
 
 # Instantiates a client
 client = vision.ImageAnnotatorClient()
 
+#image = vision.Image(content=content)
 image = vision.Image(content=content)
 
 # Performs label detection on the image file

From 4a4f1b380396e5e7ab69cd914ecf28a51c5cd934 Mon Sep 17 00:00:00 2001
From: Davide Tonelli <davide.tonelli8@studio.unibo.it>
Date: Tue, 9 Aug 2022 10:59:25 +0200
Subject: [PATCH 3/3] Auto key detection

---
 vision-env/src/vision-test.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/vision-env/src/vision-test.py b/vision-env/src/vision-test.py
index f4ce5eb..e2237f7 100644
--- a/vision-env/src/vision-test.py
+++ b/vision-env/src/vision-test.py
@@ -25,6 +25,10 @@ def shape_selection(event, x, y, flags, param):
         cv2.rectangle(image, ref_point[0], ref_point[1], (0, 255, 0), 2)
         cv2.imshow("image", image)
 
+key_rel_path= os.path.join('..', 'keys', 'developerKey.json')
+key = os.path.abspath(key_rel_path)
+os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = key
+
 # User input from the command line
 image_name = sys.argv[1]