added validation tests

Main.py

@@ -1,7 +1,5 @@
 import cv2
-import numpy as np
 import argparse
-import sys
 import time
 import os
 import datetime
@@ -36,6 +34,9 @@ def init_argparse() -> argparse.ArgumentParser:
     parser.add_argument(
         "-t", "--training-data", action='store_true', help="When set, saves successful face-location images and coordinates to use for future training data"
     )
+    parser.add_argument(
+        '--validate', action="store_true", help="if set, outputs frame_count and box coords for located faces for future validation"
+    )
     return parser
 
 multiplication_factor = 0.05
@@ -82,7 +83,7 @@ if args.file:
     cap = cv2.VideoCapture(args.file)
 else:
     cap = cv2.VideoCapture(0, cv2.IMREAD_GRAYSCALE) # instead of grayscale you can also use -1, 0, or 1.
-faceCascade = cv2.CascadeClassifier(r"./cascades/cascade_10.xml") # CHECK THIS FIRST TROUBLE SHOOTING
+faceCascade = cv2.CascadeClassifier(r"./cascades/cascade_5.xml") # CHECK THIS FIRST TROUBLE SHOOTING
 
 datestamp = "{:%Y_%m_%d %H_%M_%S}".format(datetime.datetime.now())
 output_dir = r"./output/" + datestamp + r"/"
@@ -96,6 +97,8 @@ if args.training_data:
 
 tmp, frm = cap.read()
 height, width, channels = frm.shape
+frame_count = 0
+start_timestamp = time.strftime("%Y%m%d-%H%M%S")
 # print(f"{height*.25}, {width}")
 del tmp, frm
 #Color is 1, grayscale is 0, and the unchanged is -1
@@ -121,6 +124,10 @@ while(True):
                 fd.write(f"frame_{frame_name}.jpg, {x}, {y}, {w}, {h}\n")
             cv2.imwrite(output_dir + f"frame_{frame_name}.jpg", frame)
 
+        if args.validate:
+            with open(f"./validation/{start_timestamp}-validation.txt", 'a') as output_validation_file:
+                output_validation_file.write(f"{frame_count}, {x}, {y}, {x+w}, {y+h}\n")
+
         faces_found += 1
         adjustment_required = get_adjustment_amount([width, height], x, y, w, h)
         cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 255, 255))
@@ -138,5 +145,7 @@ while(True):
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
 
+    frame_count += 1
+
 draw_dashboard(keep_stat_line=True)
 cap.release()

validation/cascade-10 output.txt

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validation/cascade-2 output.txt

@@ -0,0 +1,627 @@
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+1365, 97, 534, 482, 811

validation/cascade-5 output.txt

@@ -0,0 +1,316 @@
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validation/create_ground_truth.py

@@ -32,7 +32,7 @@ if __name__ == '__main__' :
             tracker = cv2.TrackerCSRT_create()
  
     # Read video
-    video = cv2.VideoCapture("./TestVideo.mp4")
+    video = cv2.VideoCapture("./validation/TestVideo.mp4")
  
     # Exit if video not opened.
     if not video.isOpened():
@@ -46,14 +46,12 @@ if __name__ == '__main__' :
         sys.exit()
      
     # Define an initial bounding box
-    bbox = (287, 23, 86, 320)
+    bbox = (857, 189, 346, 434)
- 
-    # Uncomment the line below to select a different bounding box
-    bbox = cv2.selectROI(frame, False)
  
     # Initialize tracker with first frame and bounding box
     ok = tracker.init(frame, bbox)
  
+    frame_count = 0
     while True:
         # Read a new frame
         ok, frame = video.read()
@@ -74,6 +72,10 @@ if __name__ == '__main__' :
             # Tracking success
             p1 = (int(bbox[0]), int(bbox[1]))
             p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
+
+            with open("./ground_truth.txt", 'a') as output_file:
+                output_file.write(f"{frame_count}, {p1[0]}, {p1[1]}, {p2[0]}, {p2[1]}\n")
+
             cv2.rectangle(frame, p1, p2, (255,0,0), 2, 1)
         else :
             # Tracking failure
@@ -87,6 +89,9 @@ if __name__ == '__main__' :
  
         # Display result
         cv2.imshow("Tracking", frame)
+
+
+        frame_count += 1
  
         # Exit if ESC pressed
         k = cv2.waitKey(1) & 0xff