Changes between Version 80 and Version 81 of Other/Summer/2023/Latency

Timestamp:

Aug 9, 2023, 6:39:58 PM (16 months ago)

Author:

Ayush_Iyer

Comment:

—

Other/Summer/2023/Latency

@@ -141 +141 @@
 
 **Week 10 presentation: [https://docs.google.com/presentation/d/1si5gw012hevYePNOeTQiqYPRlw_s4Ao4pM_46wUkApk/edit#slide=id.p]**
+== Python Scripts
+**Artificial Video Maker (Needs OpenCV and numpy)**
+import cv2
+import numpy as np
+
+# Video properties
+width = 640
+height = 480
+fps = 30
+duration = 15  # Number of frames for each color (white/black)
+cycles = 4  # Number of cycles to repeat
+noise_amount = 0 # Alter the amount of noise (0.0 - 1.0)
+
+# Create video writer
+fourcc = cv2.VideoWriter_fourcc(*"mp4v")
+output = cv2.VideoWriter("/Users/ayush/downloads/color_shift.mp4", fourcc, fps, (width, height))
+
+# Generate frames
+for i in range(cycles):
+    # Black frames
+    for i in range(duration):
+        frame = np.zeros((height, width, 3), dtype=np.uint8)  # Black screen
+        frame = cv2.randn(frame, (0, 0, 0), (255 * noise_amount, 255 * noise_amount, 255 * noise_amount))  # Add noise
+        output.write(frame)
+   
+    # White frames
+    for i in range(duration):
+        frame = np.ones((height, width, 3), dtype=np.uint8) * 255  # White screen
+        frame = cv2.randn(frame, (255, 255, 255), (255 * noise_amount, 255 * noise_amount, 255 * noise_amount))  # Add noise
+        output.write(frame)
+
+# Release video writer
+output.release()
+print("Video Created")
+
+**Frame Collector (Needs OpenCV, OS, Shutil, and numpy)**
+import cv2
+import numpy as np
+import os
+import shutil
+# Video
+width = 640
+height = 480
+fps = 30
+duration = 15  # Number of frames for each color (white/black)
+cycles = 1  # Number of cycles to repeat
+noise_amount = 0 # Alter the amount of noise (0.0 - 1.0)
+shutil.rmtree("/Users/ayush/Images")
+path = os.path.join("/Users/ayush", "Images")
+os.mkdir(path)
+
+# Generate frames
+for w in range(cycles):
+    for i in range(duration):
+        frame = np.zeros((height, width, 3), dtype=np.uint8)
+        frame = cv2.randn(frame, (0, 0, 0), (255 * noise_amount, 255 * noise_amount, 255 * noise_amount))  # Add noise
+        cv2.imwrite(os.path.join("/Users/ayush/Images","blackcycle"+str(w+1)+"frame"+str(i+1)+".jpeg"),frame)
+
+    # White frames
+    for i in range(duration):
+        frame = np.ones((height, width, 3), dtype=np.uint8) * 255  # White screen
+        frame = cv2.randn(frame, (255, 255, 255), (255 * noise_amount, 255 * noise_amount, 255 * noise_amount))  # Add noise
+        cv2.imwrite(os.path.join("/Users/ayush/Images","whitecycle"+str(w+1)+"frame"+str(i+1)+".jpeg"),frame)
+# Release video writer
+output.release()
+print("Images Created")
+
+**Histogram Code (Needs OpenCV, numpy, and Matplotlib)**
+
+from matplotlib import pyplot as plt
+import cv2
+import numpy as np
+x_axis=list(range(0,256))
+r_values=[]
+g_values=[]
+b_values=[]
+r_instances=[]
+g_instances=[]
+b_instances=[]
+cap = cv2.VideoCapture("/Users/ayush/downloads/color_shift.mp4")
+color_matrices = []
+while True:
+    ret, frame = cap.read()
+    if not ret:
+        break
+    color_matrix = frame
+    color_matrices.append(color_matrix)
+cap.release()
+frames=np.array(color_matrices)
+for color in range(3):
+    for i in range(int(frames.size/3)):
+        if(color==0):
+            b_values.append(frames.item(i*3))
+        elif(color==1):
+            g_values.append(frames.item((i*3)+1))
+        else:
+            r_values.append(frames.item((i*3)+2))
+for i in range(256):
+    r_instances.append(r_values.count(i))
+    g_instances.append(g_values.count(i))
+    b_instances.append(b_values.count(i))
+    if(i==200):
+        print("Almost Done")
+plt.figure(1)
+plt.bar(x_axis, r_instances)
+plt.title("Red Values")
+plt.xlabel("Color Matrix Values")
+plt.ylabel("Occurrences")
+plt.show()
+plt.figure(2)
+plt.bar(x_axis, g_instances)
+plt.title("Green Values")
+plt.xlabel("Color Matrix Values")
+plt.ylabel("Occurrences")
+plt.show()
+plt.figure(3)
+plt.bar(x_axis, b_instances)
+plt.title("Blue Values")
+plt.xlabel("Color Matrix Values")
+plt.ylabel("Occurrences")
+plt.show()
+
+**Framefinder**
+filevar=open("file.txt","r")
+file=filevar.read()
+hex=""
+frame=1
+file.split()
+for i in file:
+    hex=hex+i.upper()
+while(True):
+    try:
+        print("Frame "+str(frame)+": "+hex[hex.index("FFD8"):(hex.index("FFD9")+4))
+        frame=frame+1
+        hex=hex[hex.index("FFD9")+4:]
+    catch:
+        break
+
+**Frame and Packet Comparison**
+
+hexfile=open("hexfile.txt","r")
+packetsfile=open("packetsfile.txt","r")
+packets=""
+image=""
+pkts=packetsfile.read()
+pkts=pkts.split()
+for i in pkts:
+    packets=packets+i.upper()
+packets=packets[packets.index("FFD8"):]
+img=hexfile.read()
+img=img.split()
+for i in img:
+    image=image+i.upper()
+if(image[:len(packets)]==packets):
+    print("Match")
+else:
+    print("No Match")