clean and comment
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decode.py
63
decode.py
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@ -1,5 +1,3 @@
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# coding: utf-8
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from os import system
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from os import system
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import numpy as np
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import numpy as np
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from tqdm import tqdm
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from tqdm import tqdm
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@ -7,30 +5,34 @@ import pandas as pd
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import pcapng
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import pcapng
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from struct import unpack
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from struct import unpack
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from PIL import Image
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from PIL import Image
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import cv2
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pd.options.display.max_colwidth = 150
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# Read packets from a pcap file
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scanner = pcapng.scanner.FileScanner(open('in.pcap', 'rb'))
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scanner = pcapng.scanner.FileScanner(open('in.pcap', 'rb'))
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blocks = list(tqdm(scanner))
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blocks = list(tqdm(scanner))
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# Helper function to safely get an attribute from an object
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def tryget(obj, att):
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def tryget(obj, att):
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if hasattr(obj, att):
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if hasattr(obj, att):
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return getattr(obj, att)
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return getattr(obj, att)
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return None
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return None
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# Create a DataFrame with packet lengths
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df = pd.DataFrame([{'index': i, 'length': tryget(obj, 'packet_len')} for i, obj in enumerate(blocks)])
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df = pd.DataFrame([{'index': i, 'length': tryget(obj, 'packet_len')} for i, obj in enumerate(blocks)])
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# get udp packets
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# Filter and extract data packets of a specific length
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data = [blocks[i] for i in df[df.length == 6972.0].index]
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data = [blocks[i] for i in df[df.length == 6972.0].index]
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# remove udp header
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# Remove the UDP header from the packets
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raw = [d.packet_data[0x2a:] for d in data]
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raw = [d.packet_data[0x2a:] for d in data]
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# Function to parse packet data
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def parse(data):
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def parse(data):
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hdr = 4 + 2 * 7
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hdr = 4 + 2 * 7 # Header length
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# Unpack data into variables
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c1, c2, part, a, ffaa, b, c, d = unpack('>Lhhhhhhh', data[:hdr])
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c1, c2, part, a, ffaa, b, c, d = unpack('>Lhhhhhhh', data[:hdr])
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ret = locals()
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ret = locals()
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del ret['data']
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del ret['data']
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@ -39,16 +41,17 @@ def parse(data):
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return ret
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return ret
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# Parse each packet and create a DataFrame
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df = pd.DataFrame([parse(d) for d in raw])
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df = pd.DataFrame([parse(d) for d in raw])
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df2 = df[[c for c in df.columns if c != 'data']]
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df2 = df[[c for c in df.columns if c != 'data']]
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# Function to group data into frames
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def getframes(df):
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def getframes(df):
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frames = []
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frames = []
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current = []
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current = []
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for i, row in df.iterrows():
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for i, row in df.iterrows():
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if row.part == 0:
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if row.part == 0:
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# roll over
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if len(current) > 0:
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if len(current) > 0:
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frames.append(current)
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frames.append(current)
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current = []
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current = []
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@ -58,48 +61,22 @@ def getframes(df):
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return [b''.join(parts) for parts in frames]
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return [b''.join(parts) for parts in frames]
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# Function to convert binary frame data into images
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def image16(frame, width, height, pixelformat='>H'):
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def image16(frame, width, height, pixelformat='>H'):
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return [
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return [
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Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames
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Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames
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if len(frame) == 2 * width * height
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if len(frame) == 2 * width * height
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]
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]
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def showvideo(images):
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# wip
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videodims = images[0].size
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fourcc = cv2.VideoWriter_fourcc(*'avc1')
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video = cv2.VideoWriter("test.mp4", fourcc, 60, videodims)
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img = Image.new('RGB', videodims, color='darkred')
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# draw stuff that goes on every frame here
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for i in range(0, 60*60):
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imtemp = img.copy()
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# draw frame specific stuff here.
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video.write(cv2.cvtColor(np.array(imtemp), cv2.COLOR_RGB2BGR))
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video.release()
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# def shape(frames, width, height, mode='RGB'):
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# return [Image.frombytes('RGB', (width, height), frame) for frame in frames if len(frame) == width * height * 3]
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# Get frames and convert them to images
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frames = getframes(df)
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frames = getframes(df)
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images = image16(frames, 384, 288)
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images = image16(frames, 384, 288)
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# Save each image as a PNG file
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for i, img in enumerate(tqdm(images)):
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for i, img in enumerate(tqdm(images)):
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img.save(f'{i:04}.png')
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img.save(f'{i:04}.png')
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# frame = b''.join(df.iloc[:32]['data'])
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# Image.frombytes('RGB', (288, 256), frame).show()
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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')
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# 250 bytes at start of frame
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# Produce a video from the saved images
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equations = {x[:250].decode().strip() for x in df[df.part == 0]['data']}
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system('ffmpeg -hide_banner -loglevel info -y -f image2 -framerate 25 -i %04d.png -vf "transpose=1" -s 384x288 -vcodec libx264 -pix_fmt yuv420p thermal.mp4')
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# seen only a single equation on all packets
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assert len(equations) == 1
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assert list(equations)[0] == 'T=(-1.665884e-08)*X^4+(1.347094e-05)*X^3+(-4.396264e-03)*X^2+(9.506939e-01)*X+(-6.353247e+01)'
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# we have 6372 packets
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assert df.shape[0] == 6372
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# produce a video
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system('ffmpeg -f image2 -framerate 25 -i %04d.png -vf "transpose=1" -s 384x288 -vcodec libx264 -pix_fmt yuv420p thermal.mp4')
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print('to play: ffplay thermal.mp4')
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print('to play: ffplay thermal.mp4')
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