117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
#!/usr/bin/python
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"""
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#
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# DISPENSION CONFIDENTIAL
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#
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# [2020] - [2021] Dispension Industries Limited.
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# Portions Copyright © 2014-2020 Atlantean Technical Solutions Limited
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# with full rights granted to Dispension & Successors.
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#
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# All Rights Reserved.
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#
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# NOTICE: All information contained herein is, and remains
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# the property of Dispension Industries Limited.
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# The intellectual and technical concepts contained
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# herein are proprietary to Dispension Industries Limited
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# and its suppliers and may be covered by U.S. and Foreign Patents,
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# patents in process, and are protected by trade secret or copyright law.
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# Dissemination of this information or reproduction of this material
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# is strictly forbidden unless prior written permission is obtained
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# from Dispension Industries Limited.
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#
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Read a Seek Thermal camera
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Changed to a py3 Class with better error reporting and UKDI compliance - Carl Goodwin Jan 2021.
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sudo apt install python3-opencv
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sudo pip3 install pyusb
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"""
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import sys
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import numpy as np
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import cv2
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import base64
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import subprocess
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import json
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import time
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class Seek():
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# get this from lsusb -vd VEND:PROD
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CAM = None
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seekbin = "/home/disp/yoloserv/modules/seek/bin/seek"
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X = 1902
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Y = 1080
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min = 0.0
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max = 0.0
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device = "cpu"
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def decode(self, arr):
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return self.data
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def describe(self):
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return "UKDI Seek camera read"
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def open(self):
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# does nothing
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return
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def close(self):
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# does nothing
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return
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# Red the image from a camera as numpy-ready CSV buffer.
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def hid_read(self):
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result = subprocess.run([self.seekbin], stdout=subprocess.PIPE)
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rows = result.stdout.split(b'\n')
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print(rows[0],rows[1],rows[3],rows[4])
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self.X = int(rows[0].decode("utf-8"))
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self.Y = int(rows[1].decode("utf-8"))
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self.min = float(rows[3].decode("utf-8"))
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self.max = float(rows[4].decode("utf-8"))
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print("Image dimensions, min and mix: ",self.X, self.Y, self.min, self.max)
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self.data = np.fromstring(rows[2].decode("utf-8"), dtype=float, sep=',')
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self.data = np.reshape(self.data, (self.X, self.Y))
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self.data = (np.rot90(self.data)-self.min)*(255/(self.max-self.min))
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return True
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# return a PNG version of the pic in memory
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def png64(self):
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_ , im_arr = cv2.imencode('.png', self.data)
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img_as_txt = base64.b64encode(im_arr)
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return 'data:image/png;base64, '+img_as_txt.decode()
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# return a JPG version of the pic in memory
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def jpg64(self):
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_ , im_arr = cv2.imencode('.jpg', self.data)
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img_as_txt = base64.b64encode(im_arr)
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return 'data:image/jpeg;base64,'+img_as_txt.decode()
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# return a BMP version of the pic in memory
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def bmp64(self):
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_ , im_arr = cv2.imencode('.bmp', self.data)
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img_as_txt = base64.b64encode(im_arr)
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return 'data:image/bmp;base64,'+img_as_txt.decode()
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def img(self,type):
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_ , im_arr = cv2.imencode(type, self.data)
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return im_arr
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def numpy(self):
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return self.data
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if __name__ == '__main__':
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print("init..")
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m = Seek()
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print("open..")
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m.open()
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print("read..")
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if m.hid_read():
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print(m.data)
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print(m.data.shape)
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t1 = time.time()
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m.close()
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