Mason-McGough

# adapted from https://github.com/autonomousvision/giraffe (MIT License)
class Renderer(object):
    # ...
    def render_full_visualization(self, img_out_path,
            render_program=['object_rotation']):
        for rp in render_program:
            # ...
            # APPEND THIS TO THE END OF render_full_visualization
            if rp == 'object_wipeout':
                self.set_random_seed()

Mason-McGough

# adapted from https://github.com/autonomousvision/giraffe (MIT License)
inherit_from: configs/256res/cars_256.yaml
training:
  out_dir:  out/cars256_pretrained
test:
  model_file: https://s3.eu-central-1.amazonaws.com/avg-projects/giraffe/models/checkpoint_cars256-d9ea5e11.pt
rendering:
  render_dir: rendering
  render_program: ['object_wipeout']

Mason-McGough

# adapted from https://github.com/autonomousvision/giraffe (MIT License)
inherit_from: configs/256res/cars_256.yaml
training:
  out_dir:  out/cars256_pretrained
test:
  model_file: https://s3.eu-central-1.amazonaws.com/avg-projects/giraffe/models/checkpoint_cars256-d9ea5e11.pt
rendering:
  render_dir: rendering
  render_program: ['render_camera_elevation', 'render_add_cars']

Mason-McGough

class PointerNetwork(nn.Module):
  """
  From "Pointer Networks" by Vinyals et al. (2017)

  Adapted from pointer-networks-pytorch by ast0414:
    https://github.com/ast0414/pointer-networks-pytorch

  Args:
    n_hidden: The number of features to expect in the inputs.
  """

Mason-McGough

class GradTracker():
  def __init__(
    self,
    model: nn.Module
  ):
    self.model = model
    self.reset_history()
    self.reset_buffer()
  
  def __getitem__(

Mason-McGough

# From models/layers/mesh_conv.py in https://github.com/ranahanocka/MeshCNN

def dihedral_angle(mesh, edge_points):
  """
  Angle between two faces connected to edge.
  """
  normals_a = get_normals(mesh, edge_points, 0)
  normals_b = get_normals(mesh, edge_points, 3)
  dot = np.sum(normals_a * normals_b, axis=1).clip(-1, 1)
  angles = np.expand_dims(np.pi - np.arccos(dot), axis=0)

Mason-McGough

# Simplified from models/layers/mesh_conv.py in https://github.com/ranahanocka/MeshCNN

class MeshCov(nn.Module):
  def __init__(self, in_c, out_c, k=5, bias=True):
    super(MeshConv, self).__init__()
    self.conv = nn.Conv2d(in_channels=in_c, out_channels=out_c, kernel_size=(1, k), bias=bias)
  
  def forward(self, x)
    """
      Forward pass given a feature tensor x with shape (N, C, E, 5):

Mason-McGough

# From https://towardsdatascience.com/docker-for-data-science-9c0ce73e8263

# We will use Ubuntu for our image
FROM ubuntu

# Updating Ubuntu packages
RUN apt-get update && yes|apt-get upgrade

# Adding wget and bzip2
RUN apt-get install -y wget bzip2

Mason-McGough

# "If you want to ignore the file conflict and let dpkg take over the file (even without the Replaces), 
# you can pass the --force-overwrite command-line option." 
# (https://raphaelhertzog.com/2011/08/01/understanding-dpkgs-file-overwrite-error/)
sudo apt-get -o Dpkg::Options::="--force-overwrite" install --fix-broken

Mason-McGough

from __future__ import division
from math import sqrt
from os.path import basename, splitext, join
from PIL import Image
import deepzoom
from openslide import open_slide

try:
    from functools import reduce
except ImportError: