WIP displaying letter on result movie

main.py

@@ -3,7 +3,9 @@ from process_video import segment_video, classify
 from io import StringIO
 import cv2 as cv
 import tempfile
+import os
 import numpy as np
+from PIL import Image
 import tensorflow as tf
 from crop_hand_skeleton import crop_hand
 from cvzone.HandTrackingModule import HandDetector
@@ -26,15 +28,52 @@ if __name__ == "__main__":
 		tfile = tempfile.NamedTemporaryFile(delete=False)
 		tfile.write(upload_movie.read())
 		video_cap = cv.VideoCapture(tfile.name)
-		result, num = segment_video(video_cap, fps=10)
+		result, num, frames = segment_video(video_cap, fps=3)
 		st.write(f"Załadowano {num} klatek")
+		classifications = []
 		for img in result:
 			img_skeleton = crop_hand(img, detector)
 			img2= cv.resize(img_skeleton,dsize=(224,224))
 			#breakpoint()
 			img_np = np.asarray(img2)
 			classification = classify(img_np[:,:,::-1], model)
+			classifications.append(classification)
 			st.image(img_skeleton[:,:,::-1])
 			st.write(classification)
+		i = 0
+		last_letter = ''
+		text = ''
+		font = cv.FONT_HERSHEY_SIMPLEX
+		width, height, layers = result[0].shape
+		fourcc = cv.VideoWriter_fourcc(*'mp4v')
+		new_video_cap = cv.VideoCapture(tfile.name)
 		
+		new_video = cv.VideoWriter("output_video.mp4", fourcc, 30.0, (width, height), 3)
+		print(f"VIDEO CAP {result[0].shape}")
+		while True:
+			ret, frame = new_video_cap.read()
+			if ret == False:
+				break
+			if i in frames:
+				print(i)
+				frame_index = frames.index(i)
+				letter = classifications[frame_index]
+				last_letter = letter
+				st.write(last_letter)
+			cv.putText(frame, 
+                		last_letter, 
+                		(50, 50), 
+                		font, 1, 
+                		(0, 255, 255), 
+                		2, 
+                		cv.LINE_4)
+			img_pil = Image.fromarray(img)
+			frame = np.array(img_pil)
+			img = cv.cvtColor(frame, cv.COLOR_BGR2RGB)
+			new_video.write(img)
+			
+			i += 1	
+		video_cap.release()
+		new_video_cap.release()
+		new_video.release()