def __init__(self,
ts=None,
cache_path=defines.base_path + 'cache/',
fullscreen=False,
resolution=(800, 400),
icon_path=defines.base_path + 'icons/slideshow.png'):
super(Slideshow, self).__init__('Slideshow', cache_path, fullscreen,
resolution, icon_path)
self.playing = True
self.stream = ImageStreamDir(load_strategy='paths')
if ts:
self.ts = ts
else:
self.ts = TouchScreen()
self.delay = 5.0 # seconds
self.last_update = time() - self.delay
self.fading = False
self.fade_time = 2.0 # seconds
self.fade_start = time()
self.last_image = None
self.cur_image = None
self.image_corner = (30, 90)
self.buttons.append(
Button(self, 'next', (260, 10, 80, 40), (50, 50, 50), self.next))
self.buttons.append(
Button(self, 'previous', (100, 10, 145, 40), (50, 50, 50),
self.prev_image))
def __init__(self, ts=None, cache_path=defines.base_path+'cache/', fullscreen=False, resolution=(800, 400),
icon_path=defines.base_path+'icons/MET.png'):
super(SlideshowMET, self).__init__('SlideshowMET', cache_path, fullscreen, resolution, icon_path)
self.playing = True
self.stream = ImageStreamMET()
self.stream.get_favorite()
if ts:
self.ts = ts
else:
self.ts = TouchScreen()
self.delay = 5.0 # seconds
self.last_update = time() - self.delay
self.fading = False
self.fade_time = 2.0 # seconds
self.fade_start = time()
self.last_image = None
self.cur_image = None
self.image_corner = (30,90)
self.image_crop = (300, 400, 3)
self.image_fixed_size = np.zeros(self.image_crop)
self.last_image_fixed_size = np.zeros(self.image_crop)
self.buttons.append(Button(self, 'more', (460,10,80,40), (50,50,50), self.more))
self.buttons.append(Button(self, 'next', (260,10,80,40), (50,50,50), self.next))
self.buttons.append(Button(self, 'previous', (100,10,145,40), (50,50,50), self.prev_image))
def __init__(self,
ts=None,
cache_path=defines.base_path + 'cache/',
fullscreen=False,
resolution=(800, 400),
icon_path=defines.base_path + 'icons/google.png'):
super(GoogleSlider, self).__init__('GoogleSlider', cache_path,
fullscreen, resolution, icon_path)
if ts:
self.ts = ts
else:
self.ts = TouchScreen()
self.playing = True
self.buttons.append(
Button(self, 'more', (100, 10, 85, 40), (50, 50, 50),
self.get_more_images))
self.keywords = [
'fractals', 'lucidtronix', 'trending', 'beauty', 'sunset',
'caravaggio', 'chiaroscuro', 'evolution', 'ocean',
'samwell freeman', 'neural network', 'achievement', 'trees',
'palms', 'friends', 'cute animals', 'learning', 'truth',
'current events', 'news', 'timeless', 'mountains'
]
self.cur_keyword = random.randrange(len(self.keywords))
self.stream = ImageStreamGoogle((480, 640, 3), "google", cache_path,
'cv2', self.keywords[self.cur_keyword],
5, 0)
self.row = ImageRow(self, self.stream, self.ts, self.resolution)
self.redraw = True
def __init__(self,
ts=None,
cache_path=defines.base_path + '/cache/',
fullscreen=False,
resolution=(800, 400),
icon_path=defines.base_path + '/icons/cv_client.png'):
super(CVClient, self).__init__('CVClient', cache_path, fullscreen,
resolution, icon_path)
self.playing = True
self.stream = ImageStreamDir()
if ts:
self.ts = ts
else:
self.ts = TouchScreen()
self.camera = PiCamera()
self.camera.resolution = (320, 240)
self.camera.framerate = 32
self.rawCapture = PiRGBArray(self.camera, size=(320, 240))
self.faceCascade = cv2.CascadeClassifier(
defines.base_path + '/haarcascade_frontalface_default.xml')
self.pil_im_to_classify = Image.open(defines.base_path +
'images/baby.jpg')
self.last_face = np.array(self.pil_im_to_classify)
self.classifications = []
self.buttons.append(
Button(self, 'classify', (100, 10, 125, 40), (50, 50, 50),
self.classify_pil_im))
# allow the camera to warmup
sleep(0.2)
def __init__(self, feed, x, y, app):
self.feed = feed
self.x = x
self.y = y
self.app = app
self.show_me = False
self.feed.title = self.feed.title.encode('ascii','ignore')
self.btn = Button(self.app, self.feed.title[:42], (x, y,85,30), (50,50,50), self.toggle_show)
self.images = []
self.keyword = self.feed.title[:12].replace(' ', '_')
self.keyword_path =defines.base_path+'cache/news/' + self.keyword
if not os.path.exists(self.keyword_path):
os.makedirs(self.keyword_path)
self.row = None