Revert "Update VIA Conversion to new JSON format"

[Rohanbagulwar]

implemented yolov4 load function

/
`def _load(self, labels: List[str] = None, is_load_empty_ann: bool = True):
"""
Load Yolo Darknet (Yolov4) format annotations
:param labels: list of class labels. If None, load all seen labels
:param is_load_empty_ann: if True - load annotations with empty objects images, otherwise - skip.
:return:
"""

# Iterate through the annotation files in the directory
for ann_file in os.listdir(self.annotation_path):
    if ann_file.endswith('.txt'):
        # Construct the full path to the annotation file
        ann_path = os.path.join(self.annotation_path, ann_file)

        # Read the annotation file
        with open(ann_path, 'r') as file:
            lines = file.readlines()

        # Create an annotation object for this file
        annotation = Annotation()  # You'll need to define this class or use an appropriate class from your code

        # Parse each line in the annotation file
        for line in lines:
            # Split the line by space and extract the values
            label, x_c, y_c, w_b, h_b = map(float, line.strip().split())

            # Convert the coordinates to your desired format
            # Here, I'm assuming you want to convert back to pixel coordinates
            w_image, h_image = annotation.width, annotation.height
            x_min = (x_c - w_b / 2) * w_image
            y_min = (y_c - h_b / 2) * h_image
            x_max = (x_c + w_b / 2) * w_image
            y_max = (y_c + h_b / 2) * h_image

            # Create the HBox object and add it to the annotation
            hbox = HBox([x_min, y_min, x_max, y_max], label=labels[int(label)])
            annotation.objects.append(hbox)

        # Add the annotation to the list of annotations
        self._annotations.append(annotation)

# After parsing all files, the annotations should be loaded
self.log.info("Loaded {} annotations.".format(len(self._annotations)))

`