process_predictions.py 文件源码

 复制代码def create_heatmaps(img, pred):
    """
    Uses objectness probability to draw a heatmap on the image and returns it
    """
    # find anchors with highest prediction
    best_pred = np.max(pred[..., 0], axis=-1)
    # convert probabilities to colormap scale
    best_pred = np.uint8(best_pred * 255)
    # apply color map
    # cv2 colormaps create BGR, not RGB
    cmap = cv2.cvtColor(cv2.applyColorMap(best_pred, cv2.COLORMAP_JET), cv2.COLOR_BGR2RGB)
    # resize the color map to fit image
    cmap = cv2.resize(cmap, img.shape[1::-1], interpolation=cv2.INTER_NEAREST)

    # overlay cmap with image
    return cv2.addWeighted(cmap, 1, img, 0.5, 0)