def display()

in models/common.py [0:0]

• 25 lines of code
• 16 McCabe index (conditional complexity)

    def display(self, pprint=False, show=False, save=False, crop=False, render=False, save_dir=Path('')):
        for i, (im, pred) in enumerate(zip(self.imgs, self.pred)):
            str = f'image {i + 1}/{len(self.pred)}: {im.shape[0]}x{im.shape[1]} '
            if pred is not None:
                for c in pred[:, -1].unique():
                    n = (pred[:, -1] == c).sum()  # detections per class
                    str += f"{n} {self.names[int(c)]}{'s' * (n > 1)}, "  # add to string
                if show or save or render or crop:
                    for *box, conf, cls in pred:  # xyxy, confidence, class
                        label = f'{self.names[int(cls)]} {conf:.2f}'
                        if crop:
                            save_one_box(box, im, file=save_dir / 'crops' / self.names[int(cls)] / self.files[i])
                        else:  # all others
                            plot_one_box(box, im, label=label, color=colors(cls))

            im = Image.fromarray(im.astype(np.uint8)) if isinstance(im, np.ndarray) else im  # from np
            if pprint:
                print(str.rstrip(', '))
            if show:
                im.show(self.files[i])  # show
            if save:
                f = self.files[i]
                im.save(save_dir / f)  # save
                print(f"{'Saved' * (i == 0)} {f}", end=',' if i < self.n - 1 else f' to {save_dir}\n')
            if render:
                self.imgs[i] = np.asarray(im)