Changes between Version 81 and Version 82 of Other/Summer/2023/Latency

Timestamp:

Aug 9, 2023, 6:43:09 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")