cvb/BufferHandling

# CVBpy Example Script for 3rd generation acquisition stack
# to show the new buffer handling
#
# 1. Loads a GenICam device.
# 2. Get the device node map.
# 3. Modify the pixel format
# 4. Update the buffers
#
# Requires: A connected and configured GenICam device
 
import cvb
 
devices = cvb.DeviceFactory.discover_from_root(cvb.DiscoverFlags.IgnoreVins)
with cvb.DeviceFactory.open(devices[0].access_token, cvb.AcquisitionStack.GenTL) as device:
    stream = device.stream(cvb.ImageStream)
    stream.register_managed_flow_set_pool(100)
    print("Buffers allocated: {}".format(stream.flow_set_count))
    stream.deregister_flow_set_pool()
    stream.register_managed_flow_set_pool(200)
    print("Buffers allocated: {}".format(stream.flow_set_count))
    stream.start()
    for i in range(10):
        image, status, node_maps = stream.wait()
        with image:
            print("Acquired image: {}".format(i))
    stream.abort()

# CVBpy Example Script for 2nd generation acquisition stack
# to show the ring buffer handling with locking and unlocking
# buffers.
#
# 1. Load a GenICam device.
# 2. Allocate buffers.
# 3. Switch the lock mode on.
# 4. Store images to lock them.
# 5. Unlock images manually.
#
# Requires: A connected and configured GenICam device
 
import cvb
 
devices = cvb.DeviceFactory.discover_from_root(cvb.DiscoverFlags.IgnoreVins)
with cvb.DeviceFactory.open(devices[0].access_token, cvb.AcquisitionStack.Vin) as device:
    stream = device.stream()
    stream.ring_buffer.change_count(5, cvb.DeviceUpdateMode.UpdateDeviceImage)
    stream.ring_buffer.lock_mode = cvb.RingBufferLockMode.On
    print("Buffers allocated: {0} | Lock mode: {1}".format(stream.ring_buffer.count, stream.ring_buffer.lock_mode))
    stream.start()
    images = []
    for _ in range(10):
        image, status = stream.wait_for(5000)
        if status == cvb.WaitStatus.Ok:
            images.append(image)
            print("Image list size: {}".format(len(images)))
        elif (status == cvb.WaitStatus.Timeout and len(images) > 0):
            first = images.pop(0)
            first.unlock()
            print("Image unlocked")
    stream.abort()