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Merge pull request #1218 from luxonis/update_manip_examples
Updated imageManip examples by adding full hd frame as well,
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import depthai as dai | ||
import cv2 | ||
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pipeline = dai.Pipeline() | ||
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manip_input = pipeline.create(dai.node.ImageManipV2) | ||
manip_input.initialConfig.setFrameType(dai.ImgFrame.Type.BGR888p) | ||
inputQueue = manip_input.inputImage.createInputQueue() | ||
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manip_ops = [ | ||
# Resize operations. If aspect ratio isn't the same, the image will be stretched/cropped/letterboxed (depending on resize mode) | ||
# Docs here: https://docs.luxonis.com/software/depthai/resolution-techniques/ | ||
('resize_stretch', lambda conf: conf.setOutputSize(256, 200, dai.ImageManipConfigV2.ResizeMode.STRETCH)), | ||
('resize_letterbox', lambda conf: conf.setOutputSize(256, 200, dai.ImageManipConfigV2.ResizeMode.LETTERBOX)), | ||
('resize_center_crop', lambda conf: conf.setOutputSize(256, 200, dai.ImageManipConfigV2.ResizeMode.CENTER_CROP)), | ||
# Crop the image topLeft (10,40) to bottomRight (310,110) | ||
('crop', lambda conf: conf.addCrop(x=50, y=50, w=150, h=200)), | ||
# Flip the frame vertically/horizontally | ||
('flip_vertical', lambda conf: conf.addFlipVertical()), | ||
('flip_horizontal', lambda conf: conf.addFlipHorizontal()), | ||
# Scale the image by 0.7x in x and 0.5x in y | ||
('scale', lambda conf: conf.addScale(0.7, 0.5)), | ||
# Rotate. If center isn't specified, it will rotate around center (0.5, 0.5) | ||
('rotate_90_deg', lambda conf: conf.addRotateDeg(90)), | ||
('rotate_90_deg_center', lambda conf: conf.addRotateDeg(90, center=dai.Point2f(0.2, 0.3)).setOutputCenter(False)), | ||
('transform_affine', lambda conf: conf.addTransformAffine( # Shearing | ||
[1, 0.5, | ||
0.2, 1])), | ||
('transform_perspective', lambda conf: conf.addTransformPerspective( | ||
[1.0, 0.2, 0.0, # First row | ||
0.1, 1.0, 0.0, # Second row | ||
0.001, 0.002, 1.0])), # Third row | ||
('frame_type', lambda conf: conf.setFrameType(dai.ImgFrame.Type.RAW8)), # to Grayscale | ||
] | ||
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# Dynamically create ImageManipV2 nodes, apply configurations, and set up queues | ||
queues = {} | ||
for name, config in manip_ops: | ||
print(name, config) | ||
manip = pipeline.create(dai.node.ImageManipV2) | ||
config(manip.initialConfig) | ||
manip_input.out.link(manip.inputImage) | ||
queues[name] = manip.out.createOutputQueue(maxSize=4, blocking=False) | ||
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imgFrame = dai.ImgFrame() | ||
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input_frame = cv2.imread('../models/lenna.png') # 512x512 | ||
# Send 256x256 image to the device | ||
imgFrame.setCvFrame(cv2.pyrDown(input_frame), dai.ImgFrame.Type.BGR888i) | ||
inputQueue.send(imgFrame) | ||
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cv2.imshow('input_image', input_frame) | ||
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pipeline.start() | ||
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for name, queue in queues.items(): | ||
inFrame = queue.get() | ||
cv2.imshow(name, inFrame.getCvFrame()) | ||
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key = cv2.waitKey(0) |
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