113 lines
3.9 KiB
Python
113 lines
3.9 KiB
Python
# From Python
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import sys
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import cv2
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import os
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import argparse
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import subprocess
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import numpy as np
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import pyopenpose as op
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# Flags
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parser = argparse.ArgumentParser()
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parser.add_argument("--image_path", default="/data/human.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
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parser.add_argument("--steps", default=100, type=int, help="Frames to render by stretching")
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args, unknown_args = parser.parse_known_args()
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# Custom Params (refer to include/openpose/flags.hpp for more parameters)
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# here: https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/fc7813cfbb93552905a7190e6805fd01a9c101a2/include/openpose/flags.hpp
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params = dict()
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params["model_folder"] = "/openpose/models/"
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# params["face"] = True
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# params["hand"] = True
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# params["heatmaps_add_parts"] = True
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# params["heatmaps_add_bkg"] = True
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# params["heatmaps_add_PAFs"] = True
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# params["heatmaps_scale"] = 3
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# params["upsampling_ratio"] = 1
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# params["body"] = 1
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# Add others in path?
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for i in range(0, len(unknown_args)):
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curr_item = unknown_args[i]
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if i != len(unknown_args)-1: next_item = unknown_args[i+1]
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else: next_item = "1"
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if "--" in curr_item and "--" in next_item:
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key = curr_item.replace('-','')
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if key not in params: params[key] = "1"
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elif "--" in curr_item and "--" not in next_item:
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key = curr_item.replace('-','')
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if key not in params: params[key] = next_item
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# Construct it from system arguments
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# op.init_argv(unknown_args)
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# oppython = op.OpenposePython()
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original_image = cv2.imread(args.image_path)
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# Starting OpenPose
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opWrapper = op.WrapperPython()
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opWrapper.configure(params)
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opWrapper.start()
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# for i in range(args.steps):
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# factor = (i/args.steps)
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# mask = np.zeros(original_image.shape[:2], dtype="uint8")
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# cv2.rectangle(mask, (0, 0), (original_image.shape[1], int(original_image.shape[0] - original_image.shape[0] * factor)), 255, -1)
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# # cv2.imshow("Rectangular Mask", mask)
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# frame = cv2.bitwise_and(original_image, original_image, mask=mask)
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# # Process Image
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# datum = op.Datum()
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# datum.cvInputData = frame
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# opWrapper.emplaceAndPop(op.VectorDatum([datum]))
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# # Display Image
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# # print("Body keypoints: \n" + str(datum.poseKeypoints))
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# # print("Face keypoints: \n" + str(datum.faceKeypoints))
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# # print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
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# # print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
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# print(i, datum.poseKeypoints is not None)
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# cv2.imwrite(f"/data/out/result_body_obscure{i:03d}.jpg",datum.cvOutputData)
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# subprocess.call([
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# 'ffmpeg', '-i', '/data/out/result_body_obscure%3d.jpg', '-y','/data/out/result_body_obscure.mp4'
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# ])
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for i in range(args.steps):
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scale = 1 - (i/args.steps)
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frame = np.zeros(original_image.shape, dtype="uint8")
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width = int(original_image.shape[1] * scale)
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height = int(original_image.shape[0])
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partial_frame = cv2.resize(original_image, (width, height))
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# frame[y_start:y_end,x_start:x_end] = partial_frame
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offset = int((frame.shape[1] - width) / 2)
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# print(offset)
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frame[0:height,offset:(offset+width)] = partial_frame
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# Process Image
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datum = op.Datum()
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# print(frame.shape)
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datum.cvInputData = frame
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opWrapper.emplaceAndPop(op.VectorDatum([datum]))
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# Display Image
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# print("Body keypoints: \n" + str(datum.poseKeypoints))
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# print("Face keypoints: \n" + str(datum.faceKeypoints))
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# print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
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# print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
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print(i, datum.poseKeypoints is not None)
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cv2.imwrite(f"/data/out/result_body_scale{i:03d}.jpg",datum.cvOutputData)
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subprocess.call([
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'ffmpeg', '-i', '/data/out/result_body_scale%3d.jpg', '-y','/data/out/result_body_scale.mp4'
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])
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print("done")
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# cv2.imshow("OpenPose 1.7.0 - Tutorial Python API", datum.cvOutputData)
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# cv2.waitKey(0)
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