subplot是Matplotlib用于绘制图形的一个子区域,我们可以通过修改subplot的宽度来调整条形图之间的间距。默认情况下,subplot之间的间距较大,因此如果我们通过调整subplot的宽度来缩小整个图形的宽度,那么条形图之间的间隔也会变窄。具体地,我们可以通过subplots_adjust()方法来修改subplot之间...
subplots(1, 2) # Displaying the XYZ image axes[0].imshow(xyz_image) axes[0].set_title('XYZ Image') axes[0].set_axis_off() # Displaying the LAB image axes[1].imshow(lab_image) axes[1].set_title('LAB Image') axes[1].set_axis_off() # Adjusting spacing between subplots mtplt....
['image.composite_image']=False# Remove borders and ticks from subplots:ax.axis('off')# Remove padding and margins from the figure and all its subplotsplt.margins(0,0)plt.subplots_adjust(top=1,bottom=0,right=1,left=0,hspace=0,wspace=0)plt.gca().xaxis.set_major_locator(plt....
subplots_adjust(top=1, bottom=0, right=1, left=0, hspace=0, wspace=0) plt.gca().xaxis.set_major_locator(plt.NullLocator()) plt.gca().yaxis.set_major_locator(plt.NullLocator()) # Save the Matplotlib figure as a PDF file: pp = pdf.PdfPages('./savename.pdf', keep_empty=False)...
The idea is to maximize the overlap between the predicted region and the ground truth bounding box.We eventually decided to use the Jaccard coeef. The Jaccard similarity coefficient is defined as the size of the intersection divided by the size of the union of two regions. This metric is ...