def right_graph(axes, objectsY, objectsDist, path_save, where_save, path_for_graph, color_red, color_green):
    fig, ax = plt.subplots(axes, 1)
    fig.subplots_adjust(top = 0.9, wspace = 0, hspace = 0.6)
    j = 0
    if axes > 1:
        for i in ax:
            #gc.collect()
            i.set_xlim(0, 1)
            i.set_ylim(0, 400)
            i.tick_params(axis = 'both', which = 'major', labelsize = 7)
            for k in range(len(objectsDist[j])):
                if objectsDist[j][k] <= color_red:
                    if objectsDist[j][k] <= color_green:
                        i.scatter(1/(1 + math.log(objectsDist[j][k] + 1)), objectsY[j][k], marker = 'o', color = 'green', s = 30)
            j += 1
            i.set_title('Object #' + str(j))
        ax[-1].set_ylabel("HeigHt", fontsize=10)
        ax[-1].set_xlabel("Confidence", fontsize=10)

    else:
            ax.set_xlim(0, 1)
            ax.set_ylim(0, 400)
            ax.tick_params(axis = 'both', which = 'major', labelsize = 7)
            ax.set_ylabel("HeigHt", fontsize=10)
            ax.set_xlabel("Confidence", fontsize=10)
            for i in range(len(objectsDist[j])):
                #gc.collect()
                if objectsDist[j][i] <= color_red:
                    if objectsDist[j][i] <= color_green:
                        ax.scatter(1/(1 + math.log(objectsDist[j][i] + 1)), objectsY[j][i], marker = 'o', color = 'green', s = 30)
            j += 1
            ax.set_title('Object #' + str(j))


    set_size(1500/(96*4), 2000/(96*4))

    plt.savefig(where_save  + path_for_graph + '/right/' + path_save + '.png', dpi = 200)
    graphic_final = cv2.imread(where_save  + path_for_graph + '/right/' + path_save + '.png', cv2.IMREAD_COLOR)
    img = cv2.imread(where_save  + path_for_graph + '/' + path_save + '.png', cv2.IMREAD_COLOR)
    graphic_final = cv2.resize(graphic_final, (1920,1780), interpolation = cv2.INTER_AREA)
    vis = np.concatenate((img, graphic_final), axis = 1)
    cv2.imwrite(where_save  + path_for_graph + '/' + path_save + '.png', vis)
plt.close(fig)