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remove skimage import from most tutorials

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Summary:
Several tutorials were importing skimage and not using it (and it is not an official dependency of PyTorch3D).

Also several had a bad call to plt.grid.

Reviewed By: nikhilaravi

Differential Revision: D28185822

fbshipit-source-id: adabfd0d4d339e1081c26b7b28f5e3953b492f2e
This commit is contained in:
Jeremy Reizenstein 2021-05-05 04:05:35 -07:00 committed by Facebook GitHub Bot
parent 6fa66f5534
commit d17b121d9d
4 changed files with 0 additions and 15 deletions
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1
docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
View File

@ -520,7 +520,6 @@
" plt.figure()\n",
" plt.imshow(image[..., :3])\n",
" plt.title(\"iter: %d, loss: %0.2f\" % (i, loss.data))\n",
" plt.grid(\"off\")\n",
" plt.axis(\"off\")\n",
" \n",
"writer.close()"

2
docs/tutorials/fit_textured_mesh.ipynb
View File

@ -97,7 +97,6 @@
"import os\n",
"import torch\n",
"import matplotlib.pyplot as plt\n",
"from skimage.io import imread\n",
"\n",
"from pytorch3d.utils import ico_sphere\n",
"import numpy as np\n",
@ -464,7 +463,6 @@
" plt.subplot(1, 2, 2)\n",
" plt.imshow(target_image.cpu().detach().numpy())\n",
" plt.title(title)\n",
" plt.grid(\"off\")\n",
" plt.axis(\"off\")\n",
"\n",
"# Plot losses as a function of optimization iteration\n",

6
docs/tutorials/render_colored_points.ipynb
View File

@ -76,7 +76,6 @@
"import torch\n",
"import torch.nn.functional as F\n",
"import matplotlib.pyplot as plt\n",
"from skimage.io import imread\n",
"\n",
"# Util function for loading point clouds|\n",
"import numpy as np\n",
@ -202,7 +201,6 @@
"images = renderer(point_cloud)\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\")\n",
"plt.axis(\"off\");"
]
},
@ -229,7 +227,6 @@
"\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\")\n",
"plt.axis(\"off\");"
]
},
@ -277,7 +274,6 @@
"images = renderer(point_cloud)\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\")\n",
"plt.axis(\"off\");"
]
},
@ -303,7 +299,6 @@
"images = renderer(point_cloud)\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\")\n",
"plt.axis(\"off\");"
]
},
@ -336,7 +331,6 @@
" bg_col=torch.tensor([0.0, 1.0, 0.0, 1.0], dtype=torch.float32, device=device))\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\")\n",
"plt.axis(\"off\");"
]
},

6
docs/tutorials/render_textured_meshes.ipynb
View File

@ -102,7 +102,6 @@
"import os\n",
"import torch\n",
"import matplotlib.pyplot as plt\n",
"from skimage.io import imread\n",
"\n",
"# Util function for loading meshes\n",
"from pytorch3d.io import load_objs_as_meshes, load_obj\n",
@ -283,7 +282,6 @@
"plt.figure(figsize=(7,7))\n",
"texture_image=mesh.textures.maps_padded()\n",
"plt.imshow(texture_image.squeeze().cpu().numpy())\n",
"plt.grid(\"off\");\n",
"plt.axis(\"off\");"
]
},
@ -302,7 +300,6 @@
"source": [
"plt.figure(figsize=(7,7))\n",
"texturesuv_image_matplotlib(mesh.textures, subsample=None)\n",
"plt.grid(\"off\");\n",
"plt.axis(\"off\");"
]
},
@ -405,7 +402,6 @@
"images = renderer(mesh)\n",
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\");\n",
"plt.axis(\"off\");"
]
},
@ -456,7 +452,6 @@
"source": [
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\");\n",
"plt.axis(\"off\");"
]
},
@ -520,7 +515,6 @@
"source": [
"plt.figure(figsize=(10, 10))\n",
"plt.imshow(images[0, ..., :3].cpu().numpy())\n",
"plt.grid(\"off\");\n",
"plt.axis(\"off\");"
]
},