tami/thermalcam_decoder
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yair-mantis 2023-12-26 15:34:22 +02:00
parent eaf7294d06
commit e7ab3b6c80
1 changed files with 18 additions and 16 deletions
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decode.py
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@ -5,10 +5,8 @@ import numpy as np
from tqdm import tqdm from tqdm import tqdm
import pandas as pd import pandas as pd
import pcapng import pcapng
from struct import unpack from struct import unpack
import matplotlib.pyplot as plt
from PIL import Image from PIL import Image
from PIL import Image, ImageDraw
import cv2 import cv2
@ -40,6 +38,7 @@ def parse(data):
ret['data'] = data[hdr:] ret['data'] = data[hdr:]
return ret return ret
df = pd.DataFrame([parse(d) for d in raw]) df = pd.DataFrame([parse(d) for d in raw])
df2 = df[[c for c in df.columns if c != 'data']] df2 = df[[c for c in df.columns if c != 'data']]
@ -60,33 +59,36 @@ def getframes(df):
def image16(frame, width, height, pixelformat='>H'): def image16(frame, width, height, pixelformat='>H'):
return [Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames if len(frame) == 2 * width * height] return [
Image.fromarray(np.frombuffer(frame, dtype=pixelformat).reshape(width, height)) for frame in frames
if len(frame) == 2 * width * height
]
def showvideo(images): def showvideo(images):
# wip # wip
videodims = images[0].size videodims = images[0].size
fourcc = cv2.VideoWriter_fourcc(*'avc1') 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() imtemp = img.copy()
# draw frame specific stuff here. # draw frame specific stuff here.
video.write(cv2.cvtColor(np.array(imtemp), cv2.COLOR_RGB2BGR)) video.write(cv2.cvtColor(np.array(imtemp), cv2.COLOR_RGB2BGR))
video.release() 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) frames = getframes(df)
images = image16(frames, 384, 288) images = image16(frames, 384, 288)
for i, img in enumerate(tqdm(images)): for i, img in enumerate(tqdm(images)):
img.save(f'{i:04}.png') 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 # 250 bytes at start of frame
equations = {x[:250].decode().strip() for x in df[df.part == 0]['data']} equations = {x[:250].decode().strip() for x in df[df.part == 0]['data']}