c65e214c4c9b6c9db4d333851436d31f1e26c367,darkflow/net/flow.py,,predict,#Any#,99

Before Change

        // Post processing
        self.say("Post processing {} inputs ...".format(len(inp_feed)))
        start = time.time()
        for i, prediction in enumerate(out):
            self.framework.postprocess(prediction,
                os.path.join(inp_path, this_batch[i]))
        stop = time.time(); last = stop - start

        // Timing
        self.say("Total time = {}s / {} inps = {} ips".format(

After Change

        // Post processing
        self.say("Post processing {} inputs ...".format(len(inp_feed)))
        start = time.time()
        pool = ThreadPool()
        pool.map(lambda p: (lambda i, prediction:
            self.framework.postprocess(
               prediction, os.path.join(inp_path, this_batch[i])))(*p),
            enumerate(out))
        stop = time.time(); last = stop - start

        // Timing
        self.say("Total time = {}s / {} inps = {} ips".format(

Instances