decode.py

@@ -5,8 +5,10 @@ import numpy as np
 from tqdm import tqdm
 import pandas as pd
 import pcapng
-from struct import unpack
+from struct  import unpack
+import matplotlib.pyplot as plt
 from PIL import Image
+from PIL import Image, ImageDraw
 import cv2
 
 
@@ -38,7 +40,6 @@ def parse(data):
     ret['data'] = data[hdr:]
     return ret
     
-
 df = pd.DataFrame([parse(d) for d in raw])
 df2 = df[[c for c in df.columns if c != 'data']]
 
@@ -59,38 +60,35 @@ def getframes(df):
 
 
 def image16(frame, width, height, pixelformat='>H'):
-    return [
+    return [Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames if len(frame) == 2 * width * height]
-        Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames
-        if len(frame) == 2 * width * height
-        ]
 
 
 def showvideo(images):
     # wip
     videodims = images[0].size
     fourcc = cv2.VideoWriter_fourcc(*'avc1')    
-    video = cv2.VideoWriter("test.mp4", fourcc, 60, videodims)
+    video = cv2.VideoWriter("test.mp4",fourcc, 60,videodims)
-    img = Image.new('RGB', videodims, color='darkred')
+    img = Image.new('RGB', videodims, color = 'darkred')
-    # draw stuff that goes on every frame here
+    #draw stuff that goes on every frame here
-    for i in range(0, 60*60):
+    for i in range(0,60*60):
         imtemp = img.copy()
         # draw frame specific stuff here.
         video.write(cv2.cvtColor(np.array(imtemp), cv2.COLOR_RGB2BGR))
     video.release()
 
-# def shape(frames, width, height, mode='RGB'):
+#def shape(frames, width, height, mode='RGB'):
-# return [Image.frombytes('RGB', (width, height), frame) for frame in frames if len(frame) == width * height * 3]
+#    return [Image.frombytes('RGB', (width, height), frame) for frame in frames if len(frame) == width * height * 3]
 
 
 frames = getframes(df)
 images = image16(frames, 384, 288)
 for i, img in enumerate(tqdm(images)):
     img.save(f'{i:04}.png')
-# frame = b''.join(df.iloc[:32]['data'])
+#frame = b''.join(df.iloc[:32]['data'])
-# Image.frombytes('RGB', (288, 256), frame).show()
+#Image.frombytes('RGB', (288, 256), frame).show()
-start_len = len(b'T=(-1.665884e-08)*X^4+(1.347094e-05)*X^3+(-4.396264e-03)*X^2+(9.506939e-01)*X+(-6.353247e+01)\r\n')
+start_len = len(b'T=(-1.665884e-08)*X^4+(1.347094e-05)*X^3+(-4.396264e-03)*X^2+(9.506939e-01)*X+(-6.353247e+01)\r\n                                                                                                                                                           ')
-
 # 250 bytes at start of frame
+
 equations = {x[:250].decode().strip() for x in df[df.part == 0]['data']}
 # seen only a single equation on all packets
 assert len(equations) == 1
@@ -101,5 +99,5 @@ assert list(equations)[0] == 'T=(-1.665884e-08)*X^4+(1.347094e-05)*X^3+(-4.39626
 assert df.shape[0] == 6372
 
 # produce a video
-system('ffmpeg -f image2 -framerate 25 -i %04d.png -vf "transpose=1" -s 384x288 -vcodec libx264 -pix_fmt yuv420p thermal.mp4')
+system('ffmpeg -f image2 -framerate 25 -i %04d.png -s 288x384 thermal.mp4')
 print('to play: ffplay thermal.mp4')