ERROR about onnx-yolov7-object-detection HOT 4 CLOSED

def process_output(self, output):
        predictions0 = np.squeeze(output[0])
        predictions1 = np.squeeze(output[1])
        predictions2 = np.squeeze(output[2])
        
        predictions0=predictions0.reshape(-1, predictions0.shape[-1])
        predictions1=predictions1.reshape(-1, predictions1.shape[-1])
        predictions2=predictions2.reshape(-1, predictions2.shape[-1])
        
        predictions = np.concatenate((predictions0, predictions1,predictions2), axis=0)
        
        # Filter out object confidence scores below threshold
        obj_conf = predictions[:, 4]
        predictions = predictions[obj_conf > self.conf_threshold]
        
        obj_conf = obj_conf[obj_conf > self.conf_threshold]

        # Multiply class confidence with bounding box confidence
        predictions[:, 5:] *= obj_conf[:, np.newaxis]

        # Get the scores
        scores = np.max(predictions[:, 5:], axis=1)
        print(scores)
        # Filter out the objects with a low score
        predictions = predictions[scores > self.conf_threshold]
        scores = scores[scores > self.conf_threshold]
        print(predictions)
        print("predictions result",predictions.shape)
        print("scores result",scores.shape)

        if len(scores) == 0:
            return [], [], []

        # Get the class with the highest confidence
        class_ids = np.argmax(predictions[:, 5:], axis=1)

        # Get bounding boxes for each object
        boxes = self.extract_boxes(predictions)
        print(boxes)

        # Apply non-maxima suppression to suppress weak, overlapping bounding boxes
        indices = nms(boxes, scores, self.iou_threshold)
        print(indices)
        print(scores)
        return boxes[indices], scores[indices], class_ids[indices]