fe664e274814a75b56c2f8aeabcb1a51d8f5d4f0,scripts/train.py,Train,_set_timelapse,#Train#,62

Before Change

        for folder in (self._args.timelapse_input_a, self._args.timelapse_input_b):
            if folder is not None and not os.path.isdir(folder):
                raise FaceswapError("The Timelapse path "{}" does not exist".format(folder))
            exts = [os.path.splitext(fname)[-1].lower() for fname in os.listdir(folder)]
            if not any(ext in _image_extensions for ext in exts):
                raise FaceswapError("The Timelapse path "{}" does not contain any valid "
                                    "images".format(folder))
        kwargs = {"input_a": self._args.timelapse_input_a,

After Change

            if folder is not None and not os.path.isdir(folder):
                raise FaceswapError("The Timelapse path "{}" does not exist".format(folder))

            training_folder = getattr(self._args, "input_{}".format(side))
            if folder == training_folder:
                continue  // Timelapse folder is training folder

            filenames = [fname for fname in os.listdir(folder)
                         if os.path.splitext(fname)[-1].lower() in _image_extensions]
            if not filenames:
                raise FaceswapError("The Timelapse path "{}" does not contain any valid "
                                    "images".format(folder))

            // Timelapse images must appear in the training set, as we need access to alignment and
            // mask info. Check filenames are there to save failing much later in the process.
            training_images = [os.path.basename(img) for img in self._images[side]]
            if not all(img in training_images for img in filenames):
                raise FaceswapError("All images in the Timelapse folder "{}" must exist in the "
                                    "training folder "{}"".format(folder, training_folder))

        kwargs = {"input_a": self._args.timelapse_input_a,
                  "input_b": self._args.timelapse_input_b,
                  "output": timelapse_output}
        logger.debug("Timelapse enabled: %s", kwargs)

Instances