Then the images is of right size, however it has still some white padding around. Which is a struct array of length num_images and where each element has the fields: Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). A general 3d object detection codebase in pytorch. I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly.
A general 3d object detection codebase in pytorch. Which is a struct array of length num_images and where each element has the fields: Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Then the images is of right size, however it has still some white padding around.
Which is a struct array of length num_images and where each element has the fields:
Then the images is of right size, however it has still some white padding around. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. A general 3d object detection codebase in pytorch. Which is a struct array of length num_images and where each element has the fields: I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout().
Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). A general 3d object detection codebase in pytorch. Then the images is of right size, however it has still some white padding around. I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly.
I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). Then the images is of right size, however it has still some white padding around. A general 3d object detection codebase in pytorch. Which is a struct array of length num_images and where each element has the fields: Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands.
Then the images is of right size, however it has still some white padding around.
Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). A general 3d object detection codebase in pytorch. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Which is a struct array of length num_images and where each element has the fields: Then the images is of right size, however it has still some white padding around.
Then the images is of right size, however it has still some white padding around. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). Which is a struct array of length num_images and where each element has the fields: A general 3d object detection codebase in pytorch.
Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). Then the images is of right size, however it has still some white padding around. Which is a struct array of length num_images and where each element has the fields: A general 3d object detection codebase in pytorch. I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands.
Then the images is of right size, however it has still some white padding around.
Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. Then the images is of right size, however it has still some white padding around. Which is a struct array of length num_images and where each element has the fields: A general 3d object detection codebase in pytorch.
Bbox Sign In / I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly.. A general 3d object detection codebase in pytorch. Well, the answers suggest to remove bbox_inches='tight' and pad_inches=0 and use just the tight_layout(). I can remove it with fig.tight_layout(pad=0) , but then the figure title it moved inside the box, which looks ugly. Enjoy great deals on furniture, bedding, window home decor.find appliances, clothing shoes from your favorite brands. Then the images is of right size, however it has still some white padding around.
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