def __init__(self, modelName, useWebcam, **kwargs):
self.modelName = modelName
self.useWebcam = useWebcam
self.videoIndex = 0
self.webcamFlip = True
self.delay = 0.025 #ms
self.autoStart = True
self.interpolateResult = True
self.image_queue = queue.Queue(5)
self.res_queue = queue.Queue(5)
for k, v in kwargs.items():
exec('self.' + k + '=v')
self.net = hs.HS(modelName, **kwargs)
if self.autoStart:
if self.useWebcam:
self.video_capture = cv2.VideoCapture(self.videoIndex)
self._video_thread = threading.Thread(target=self._get_image,
args=())
self._video_thread.start()
self.start()
#! /usr/bin/env python3
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
# Note: This demo needs 2 HS devices
import numpy as np, cv2, sys
sys.path.append('../../api/')
import hsapi as hs
import pdb
WEBCAM = False # Set to True if use Webcam
net = hs.HS('FaceRec', zoom=True, verbose=2)
net2 = hs.HS('FaceDetector', deviceIdx=1, zoom=True, verbose=0, threshSSD=0.55)
if WEBCAM: video_capture = cv2.VideoCapture(0)
C = 5
try:
while True:
if WEBCAM: _, img = video_capture.read()
else: img = None
result = net2.run(img)
# Record 1st face
key = cv2.waitKey(5)
if len(result[1]) > 0:
box = result[1][0]
if box[5] - box[3] > 10 or box[4] - box[2] > 10:
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
# Import libs
import cv2, sys, numpy as np
sys.path.append('../../api/')
import hsapi as hs
# Load CNN to device and set scale / mean
net = hs.HS('mnist')
imgRoot = '../misc/2018_mnist/%d.jpg'
print('Hello')
for n in [1, 2, 3, 4]:
imgname = imgRoot % n
img = cv2.imread(imgname)
result = net.run(img)
print(result[1])
net.quit()
#! /usr/bin/env python3
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
import numpy as np, cv2, sys
sys.path.append('../../api/')
import hsapi as hs
WEBCAM = False # Set to True if use Webcam
net = hs.HS('SketchGuess', zoom=True, verbose=2)
if WEBCAM: video_capture = cv2.VideoCapture(0)
# Label paths
fcl2 = open('../misc/class_list.txt', 'r')
fcl = open('../misc/class_list_chn.txt', 'r')
class_list = fcl.readlines()
class_list_eng = fcl2.readlines()
cls = []
# Image processing params
p1 = 120
p2 = 45
ROI_ratio = 0.1
stage = 0
for line in class_list:
cls.append(line.split(' ')[0])
#! /usr/bin/env python3
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
import numpy as np, cv2, sys
sys.path.append('../../api/')
import hsapi as hs
WEBCAM = False # Set to True if use Webcam
net = hs.HS('GoogleNet', zoom=True, verbose=2)
if WEBCAM: video_capture = cv2.VideoCapture(0)
while True:
if WEBCAM: _, img = video_capture.read()
else: img = None
# Get image descriptor
result = net.run(img)
key = cv2.waitKey(5)
prob = net.record(result, key, saveFilename='../misc/record.dat', numBin=5)
if prob is not None:
cv2.putText(result[0], '%d' % (prob.argmax() + 1), (50, 50),
cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 255, 0), 7)
cv2.putText(result[0], '%d' % (prob.argmax() + 1), (50, 50),
cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 255, 255), 3)
cv2.imshow("Scene Recorder", result[0])
cv2.waitKey(1)
#! /usr/bin/env python3
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
import numpy as np, cv2, sys
sys.path.append('../../api/')
import hsapi as hs
WEBCAM = False # Set to True if use Webcam
net = hs.HS('ObjectDetector', zoom=True, verbose=2)
if WEBCAM: video_capture = cv2.VideoCapture(0)
try:
while True:
if WEBCAM: _, img = video_capture.read()
else: img = None
result = net.run(img)
img = net.plotSSD(result)
cv2.imshow("20 VOC Object Detector", img)
cv2.waitKey(1)
finally:
net.quit()
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
# Import libs
import cv2, sys, numpy as np
sys.path.append('../../api/')
import hsapi as hs
# Load CNN to device and set scale / mean
net = hs.HS('mnist', zoom=False, verbose=2)
try:
while (1):
image = net.getImage()
cv2.imshow('image', image)
cv2.waitKey(1)
finally:
net.quit()
#! /usr/bin/env python3
# Copyright(c) 2018 Senscape Corporation.
# License: Apache 2.0
import numpy as np, cv2, sys
sys.path.append('../../api/')
import hsapi as hs
WEBCAM = False # Set to True if use Webcam
net = hs.HS('FaceDetector', zoom=True, verbose=2, threshSSD=0.55)
if WEBCAM: video_capture = cv2.VideoCapture(0)
while True:
if WEBCAM: _, img = video_capture.read()
else: img = None
result = net.run(img)
img = net.plotSSD(result)
cv2.imshow("Face Detector", img)
cv2.waitKey(1)
def __init__(self):
self.net = hs.HS('FaceDetector', zoom=True, verbose=2, threshSSD=0.55)