def predict(self, video, given, last, pool): return dp.fill(given, video, last = last, pool = pool, pairwisecost = self.pairwisecost, upperthreshold = self.upperthreshold, skip = self.skip, rgbbin = self.rgbbin, hogbin = self.hogbin)
def predict(self, video, given, last, pool): return dp.fill(given, video, last=last, pool=pool, pairwisecost=self.pairwisecost, upperthreshold=self.upperthreshold, skip=self.skip, rgbbin=self.rgbbin, hogbin=self.hogbin)
from vision import * from vision.track import dp from vision import visualize import os import logging import multiprocessing logging.basicConfig(level=logging.INFO) name = "VIRAT_S_040104_05_000939_001116" root = os.path.dirname(os.path.abspath(__file__)) #iter = frameiterator("/scratch/virat/frames/{0}".format(name)) iter = frameiterator("/scratch/vatic/uci-basketball") #start = Box(234, 115, 234 + 72, 115 + 44, 0) #start = Box(434, 184, 434 + 112, 184 + 75, 0) start = Box(492, 254, 492 + 16, 254 + 18, 20315) stop = Box(510, 270, 510 + 16, 270 + 18, 20385) #stop = 20385 given = [start, stop] pool = multiprocessing.Pool(24) predicted = dp.fill(given, iter, pool=pool, pairwisecost=1.0, c=100) vit = visualize.highlight_path(iter, predicted) visualize.save(vit, lambda x: "tmp/path{0}.jpg".format(x))
from vision import * from vision.track import dp from vision import visualize import os import logging import multiprocessing logging.basicConfig(level = logging.INFO) name = "VIRAT_S_040104_05_000939_001116" root = os.path.dirname(os.path.abspath(__file__)) #iter = frameiterator("/scratch/virat/frames/{0}".format(name)) iter = frameiterator("/scratch/vatic/uci-basketball") #start = Box(234, 115, 234 + 72, 115 + 44, 0) #start = Box(434, 184, 434 + 112, 184 + 75, 0) start = Box(492, 254, 492 + 16, 254 + 18, 20315) stop = Box(510, 270, 510 + 16, 270 + 18, 20385) #stop = 20385 given = [start, stop] pool = multiprocessing.Pool(24) predicted = dp.fill(given, iter, pool = pool, pairwisecost = 1.0, c = 100) vit = visualize.highlight_path(iter, predicted) visualize.save(vit, lambda x: "tmp/path{0}.jpg".format(x))