MityCAM Vision Cameras » GenTL Software

# example python script for capturing an image from CMV50K EVK

#

# conda create -n gentl_38 matplotlib python=3.8

# conda activate gentl_38

# pip install harvesters numpy

#

# you must have c:\Program Files\Critical Link LLC\GenTL Viewer\bin in your path prior to running this script.

# set PATH=c:\Program Files\Critical Link LLC\GenTL Viewer\bin;%PATH%

#

# To enable simulated camera for testing:

# copy "c:\Program Files\Critical Link LLC\GenTL Viewer\bin\sim_camera.xml" .

# set SIMCAM_XML_FILE=sim_camera.xml

# 

# (gentl_38) C:\Users\jcormier\Documents>python snap.py

from harvesters.core import Harvester

import logging

import matplotlib.pyplot as plt

import os

print(os.getenv('HARVESTERS_XML_FILE_DIR'))

# set up a logger for the harvester library.

# this is not needed but can be useful for debugging your script

logger = logging.getLogger('harvesters');

ch = logging.StreamHandler()

logger.setLevel(logging.DEBUG)

ch.setLevel(logging.DEBUG)

formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')

ch.setFormatter(formatter)

logger.addHandler(ch)

# Create the harvester

h = Harvester(logger=logger)

# the harvester can load dlls as well as cti files.

if "add_file" in dir(h): # Use updated harvesters api if exists

	h.add_file('c:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin\\GenTL.dll')

else:

	h.add_cti_file('c:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin\\GenTL.dll')

if "update" in dir(h): # Use updated harvesters api if exists

	h.update()

else:

	h.update_device_info_list()

print("Found {} devices".format(len(h.device_info_list)))

print(h.device_info_list)

if len(h.device_info_list) == 0:

	print("No devices found")

	exit()

# create an image acquirer

if "create" in dir(h): # Use updated harvesters api if exists

	ia = h.create(0)

else:

	ia = h.create_image_acquirer(list_index=0)

# this is required for larger images (> 16 MiB) with Critical Link's producer.

ia.num_buffers = 5

ia.remote_device.node_map.PixelFormat.value = 'Mono8'

# Uncomment to set the image ROI width, height. Otherwise will get full frame

#ia.remote_device.node_map.Width.value, ia.remote_device.node_map.Height.value = 800, 600

print("Starting Acquistion")

if "start" in dir(ia): # Use updated harvesters api if exists

	ia.start()

else:

	ia.start_image_acquisition()

# just capture 1 frame

for i in range(1):

	if "fetch" in dir(ia): # Use updated harvesters api if exists

		fetch = ia.fetch

	else:

		fetch = ia.fetch_buffer

	with fetch(timeout=4) as buffer:

		payload = buffer.payload

		component = payload.components[0]

		width = component.width

		height = component.height

		data_format = component.data_format

		print("Image details: {}w {}h {}".format(width, height, data_format))

		# for monochrome 8 bit images

		if int(component.num_components_per_pixel) == 1:

			content = component.data.reshape(height, width)

		else:

			content = component.data.reshape(height, width, int(component.num_components_per_pixel))

		if int(component.num_components_per_pixel) == 1:

			plt.imshow(content, cmap='gray')

		else:

			plt.imshow(content)

		plt.show()

#

if "stop" in dir(ia): # Use updated harvesters api if exists

	ia.stop()

else:

	ia.stop_image_acquisition()

ia.destroy()