New examples for PyOpenPose (#1039)

This commit is contained in:
Raaj
2019-01-21 19:18:22 -05:00
committed by Gines
parent 3356336e37
commit b064a4836e
11 changed files with 480 additions and 15 deletions
@@ -63,6 +63,5 @@ opWrapper.emplaceAndPop([datum])
# Display Image
print("Body keypoints: \n" + str(datum.poseKeypoints))
while 1:
cv2.imshow("win", datum.cvOutputData)
cv2.waitKey(15)
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
cv2.waitKey(0)
@@ -68,6 +68,5 @@ print("Body keypoints: \n" + str(datum.poseKeypoints))
print("Face keypoints: \n" + str(datum.faceKeypoints))
print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
while 1:
cv2.imshow("win", datum.cvOutputData)
cv2.waitKey(15)
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
cv2.waitKey(0)
@@ -35,7 +35,9 @@ args = parser.parse_known_args()
params = dict()
params["model_folder"] = "../../../models/"
params["heatmaps_add_parts"] = True
params["heatmaps_add_bkg"] = True
params["heatmaps_add_PAFs"] = True
params["heatmaps_scale"] = 2
# Add others in path?
for i in range(0, len(args[1])):
@@ -69,7 +71,7 @@ outputImageF = (datum.inputNetData[0].copy())[0,:,:,:] + 0.5
outputImageF = cv2.merge([outputImageF[0,:,:], outputImageF[1,:,:], outputImageF[2,:,:]])
outputImageF = (outputImageF*255.).astype(dtype='uint8')
heatmaps = datum.poseHeatMaps.copy()
heatmaps = (heatmaps*255.).astype(dtype='uint8')
heatmaps = (heatmaps).astype(dtype='uint8')
# Display Image
counter = 0
@@ -78,7 +80,9 @@ while 1:
heatmap = heatmaps[counter, :, :].copy()
heatmap = cv2.applyColorMap(heatmap, cv2.COLORMAP_JET)
combined = cv2.addWeighted(outputImageF, 0.5, heatmap, 0.5, 0)
cv2.imshow("win", combined)
cv2.waitKey(-1)
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", combined)
key = cv2.waitKey(-1)
if key == 27:
break
counter += 1
counter = counter % num_maps
@@ -0,0 +1,79 @@
# From Python
# It requires OpenCV installed for Python
import sys
import cv2
import os
from sys import platform
import argparse
import time
# Import Openpose (Windows/Ubuntu/OSX)
dir_path = os.path.dirname(os.path.realpath(__file__))
try:
# Windows Import
if platform == "win32":
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append(dir_path + '/../../python/openpose/Release');
os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' + dir_path + '/../../bin;'
import pyopenpose as op
else:
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append('../../python');
# If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
# sys.path.append('/usr/local/python')
from openpose import pyopenpose as op
except ImportError as e:
print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
raise e
# Flags
parser = argparse.ArgumentParser()
parser.add_argument("--image_dir", default="../../../examples/media/", help="Process a directory of images. Read all standard formats (jpg, png, bmp, etc.).")
parser.add_argument("--no_display", default=False, help="Enable to disable the visual display.")
args = parser.parse_known_args()
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
# Add others in path?
for i in range(0, len(args[1])):
curr_item = args[1][i]
if i != len(args[1])-1: next_item = args[1][i+1]
else: next_item = "1"
if "--" in curr_item and "--" in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = "1"
elif "--" in curr_item and "--" not in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = next_item
# Construct it from system arguments
# op.init_argv(args[1])
# oppython = op.OpenposePython()
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
# Read frames on directory
imagePaths = op.get_images_on_directory(args[0].image_dir);
start = time.time()
# Process and display images
for imagePath in imagePaths:
datum = op.Datum()
imageToProcess = cv2.imread(imagePath)
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
print("Body keypoints: \n" + str(datum.poseKeypoints))
if not args[0].no_display:
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
key = cv2.waitKey(15)
if key == 27: break
end = time.time()
print("OpenPose demo successfully finished. Total time: " + str(end - start) + " seconds")
@@ -0,0 +1,103 @@
# From Python
# It requires OpenCV installed for Python
import sys
import cv2
import os
from sys import platform
import argparse
import time
# Import Openpose (Windows/Ubuntu/OSX)
dir_path = os.path.dirname(os.path.realpath(__file__))
try:
# Windows Import
if platform == "win32":
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append(dir_path + '/../../python/openpose/Release');
os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' + dir_path + '/../../bin;'
import pyopenpose as op
else:
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append('../../python');
# If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
# sys.path.append('/usr/local/python')
from openpose import pyopenpose as op
except ImportError as e:
print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
raise e
# Flags
parser = argparse.ArgumentParser()
parser.add_argument("--image_dir", default="../../../examples/media/", help="Process a directory of images. Read all standard formats (jpg, png, bmp, etc.).")
parser.add_argument("--no_display", default=False, help="Enable to disable the visual display.")
args = parser.parse_known_args()
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
# Add others in path?
for i in range(0, len(args[1])):
curr_item = args[1][i]
if i != len(args[1])-1: next_item = args[1][i+1]
else: next_item = "1"
if "--" in curr_item and "--" in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = "1"
elif "--" in curr_item and "--" not in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = next_item
# Construct it from system arguments
# op.init_argv(args[1])
# oppython = op.OpenposePython()
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
# Read frames on directory
imagePaths = op.get_images_on_directory(args[0].image_dir);
# Read number of GPUs in your system
numberGPUs = op.get_gpu_number()
start = time.time()
# Process and display images
for imageBaseId in range(0, len(imagePaths), numberGPUs):
# Create datums
datums = []
# Read and push images into OpenPose wrapper
for gpuId in range(0, numberGPUs):
imageId = imageBaseId+gpuId
if imageId < len(imagePaths):
imagePath = imagePaths[imageBaseId+gpuId]
datum = op.Datum()
imageToProcess = cv2.imread(imagePath)
datum.cvInputData = imageToProcess
datums.append(datum)
opWrapper.waitAndEmplace([datums[-1]])
# Retrieve processed results from OpenPose wrapper
for gpuId in range(0, numberGPUs):
imageId = imageBaseId+gpuId
if imageId < len(imagePaths):
datum = datums[gpuId]
opWrapper.waitAndPop([datum])
print("Body keypoints: \n" + str(datum.poseKeypoints))
if not args[0].no_display:
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
key = cv2.waitKey(15)
if key == 27: break
end = time.time()
print("OpenPose demo successfully finished. Total time: " + str(end - start) + " seconds")
@@ -0,0 +1,79 @@
# From Python
# It requires OpenCV installed for Python
import sys
import cv2
import os
from sys import platform
import argparse
import time
# Import Openpose (Windows/Ubuntu/OSX)
dir_path = os.path.dirname(os.path.realpath(__file__))
try:
# Windows Import
if platform == "win32":
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append(dir_path + '/../../python/openpose/Release');
os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' + dir_path + '/../../bin;'
import pyopenpose as op
else:
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append('../../python');
# If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
# sys.path.append('/usr/local/python')
from openpose import pyopenpose as op
except ImportError as e:
print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
raise e
# Flags
parser = argparse.ArgumentParser()
parser.add_argument("--image_path", default="../../../examples/media/COCO_val2014_000000000241.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
args = parser.parse_known_args()
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["face"] = True
params["face_detector"] = 2
params["body_disable"] = True
# Add others in path?
for i in range(0, len(args[1])):
curr_item = args[1][i]
if i != len(args[1])-1: next_item = args[1][i+1]
else: next_item = "1"
if "--" in curr_item and "--" in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = "1"
elif "--" in curr_item and "--" not in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = next_item
# Construct it from system arguments
# op.init_argv(args[1])
# oppython = op.OpenposePython()
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
# Read image and face rectangle locations
imageToProcess = cv2.imread(args[0].image_path)
faceRectangles = [
op.Rectangle(330.119385, 277.532715, 48.717274, 48.717274),
op.Rectangle(24.036991, 267.918793, 65.175171, 65.175171),
op.Rectangle(151.803436, 32.477852, 108.295761, 108.295761),
]
# Create new datum
datum = op.Datum()
datum.cvInputData = imageToProcess
datum.faceRectangles = faceRectangles
# Process and display image
opWrapper.emplaceAndPop([datum])
print("Face keypoints: \n" + str(datum.faceKeypoints))
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
cv2.waitKey(0)
@@ -0,0 +1,92 @@
# From Python
# It requires OpenCV installed for Python
import sys
import cv2
import os
from sys import platform
import argparse
import time
# Import Openpose (Windows/Ubuntu/OSX)
dir_path = os.path.dirname(os.path.realpath(__file__))
try:
# Windows Import
if platform == "win32":
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append(dir_path + '/../../python/openpose/Release');
os.environ['PATH'] = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' + dir_path + '/../../bin;'
import pyopenpose as op
else:
# Change these variables to point to the correct folder (Release/x64 etc.)
sys.path.append('../../python');
# If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
# sys.path.append('/usr/local/python')
from openpose import pyopenpose as op
except ImportError as e:
print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
raise e
# Flags
parser = argparse.ArgumentParser()
parser.add_argument("--image_path", default="../../../examples/media/COCO_val2014_000000000241.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
args = parser.parse_known_args()
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
params["hand_detector"] = 2
params["body_disable"] = True
# Add others in path?
for i in range(0, len(args[1])):
curr_item = args[1][i]
if i != len(args[1])-1: next_item = args[1][i+1]
else: next_item = "1"
if "--" in curr_item and "--" in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = "1"
elif "--" in curr_item and "--" not in next_item:
key = curr_item.replace('-','')
if key not in params: params[key] = next_item
# Construct it from system arguments
# op.init_argv(args[1])
# oppython = op.OpenposePython()
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
# Read image and face rectangle locations
imageToProcess = cv2.imread(args[0].image_path)
handRectangles = [
# Left/Right hands person 0
[
op.Rectangle(320.035889, 377.675049, 69.300949, 69.300949),
op.Rectangle(0., 0., 0., 0.),
],
# Left/Right hands person 1
[
op.Rectangle(80.155792, 407.673492, 80.812706, 80.812706),
op.Rectangle(46.449715, 404.559753, 98.898178, 98.898178),
],
# Left/Right hands person 2
[
op.Rectangle(185.692673, 303.112244, 157.587555, 157.587555),
op.Rectangle(88.984360, 268.866547, 117.818230, 117.818230),
]
]
# Create new datum
datum = op.Datum()
datum.cvInputData = imageToProcess
datum.handRectangles = handRectangles
# Process and display image
opWrapper.emplaceAndPop([datum])
print("Left hand keypoints: \n" + str(datum.handKeypoints[0]))
print("Right hand keypoints: \n" + str(datum.handKeypoints[1]))
cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", datum.cvOutputData)
cv2.waitKey(0)
@@ -3,3 +3,7 @@ configure_file(openpose_python.py openpose_python.py)
configure_file(1_body_from_image.py 1_body_from_image.py)
configure_file(2_whole_body_from_image.py 2_whole_body_from_image.py)
configure_file(3_heatmaps_from_image.py 3_heatmaps_from_image.py)
configure_file(4_keypoints_from_images.py 4_keypoints_from_images.py)
configure_file(5_keypoints_from_images_multi_gpu.py 5_keypoints_from_images_multi_gpu.py)
configure_file(6_face_from_image.py 6_face_from_image.py)
configure_file(7_hand_from_image.py 7_hand_from_image.py)