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concept_transfer.py
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concept_transfer.py
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#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import numpy as np
import sys, os
sys.path.append(os.path.join(os.path.dirname("__file__"), '..'))
sys.path.append(os.path.join(os.path.dirname("__file__"), '..', '..'))
import pdb
import torch
import time
from multiprocessing import Pool, Manager, get_context
from contextlib import closing
from vapory import *
from zeroc.concept_library.util import init_args, to_np_array, plot_matrices, set_seed
from zeroc.concept_library.util import color_dict, visualize_matrices
# ## 0. Helper Functions
# In[ ]:
WHITE = 1
BLACK = 0
DEGREE_OFFSET = 16.8 # Corresponds with 40 degree camera angle
# DEFAULT_NORMAL = Normal('bumps', 0.75, 'scale', 0.0125)
DEFAULT_NORMAL = Normal('bumps', 0, 'scale', 0)
DEFAULT_PHONG = Finish('phong', 0.05)
COLOR_THRESH = 0.33
COLOR_DICT = {
0: [0, 0, 0],
1: [0.2, 0.9, 0.2],
2: [0.9, 0.1, 0.9],
3: [0.3, 0.3, .9],
4: [0.9, 0.2, 0.2],
5: [.5, .55, .5],
6: [.5, 0.1, .5],
7: [1, .64, 0.3],
8: [0.2, 0.9, 0.9],
9: [1, 0.3, 1],
}
def crop(image, r, c, height, width):
return image[r:r+height, c:c+width]
def moore_neighbor_tracing(image):
original_height, original_width = image.shape
image = np.pad(image, ((1, 1), (1, 1)), 'constant', constant_values=(BLACK, BLACK))
height, width = image.shape
contour_pixels = []
p = (0, 0)
c = (0, 0)
s = (0, 0)
previous = (0, 0)
found = False
# Find the first point
for i in range(height):
for j in range(width):
if image[i, j] == WHITE and not (i == 0 and j == 0):
s = (i, j)
# contour_pixels.append(s)
contour_pixels.append((s[0]-1, s[1]-1))
p = s
found = True
break
if not found:
previous = (i, j)
if found:
break
# If the pixel is isolated i don't do anything
isolated = True
m = moore_neighbor(p)
for r, c in m:
if image[r, c] == WHITE:
isolated = False
if not isolated:
tmp = c
# Backtrack and next clockwise M(p)
c = next_neighbor(s, previous)
previous = tmp
while c != s:
if image[c] == WHITE:
previous_contour = contour_pixels[len(contour_pixels) - 1]
# contour_pixels.append(c)
contour_pixels.append((c[0]-1, c[1]-1))
p = c
c = previous
# HERE is where i have to start checking for lines
# i get the previous contour pixel
current_contour = p[0] - 1, p[1] - 1
else:
previous = c
c = next_neighbor(p, c)
image = crop(image, 1, 1, original_height, original_width)
return contour_pixels
def moore_neighbor(pixel):
row, col = pixel
return ((row - 1, col - 1), (row - 1, col), (row - 1, col + 1),
(row, col + 1), (row + 1, col + 1),
(row + 1, col), (row + 1, col - 1),
(row, col - 1))
# Function that "deletes" an object using the information about its contours
def delete_object(image, contoured, contours):
# With the edge pixel i also delete its moore neighborhood because otherwise if and edge is 2 pixel thick
# because i find only the external contour i wouldn't delete the contour completely
height, width = image.shape
for x, y in contours:
image[x, y] = BLACK
image[np.clip(x - 1, 0, height - 1), np.clip(y - 1, 0, width - 1)] = BLACK
image[np.clip(x - 1, 0, height - 1), y] = BLACK
image[np.clip(x - 1, 0, height - 1), np.clip(y + 1, 0, width - 1)] = BLACK
image[x, np.clip(y - 1, 0, width - 1)] = BLACK
image[x, y] = BLACK
image[x, np.clip(y + 1, 0, width - 1)] = BLACK
image[np.clip(x + 1, 0, height - 1), np.clip(y - 1, 0, width - 1)] = BLACK
image[np.clip(x + 1, 0, height - 1), y] = BLACK
image[np.clip(x + 1, 0, height - 1), np.clip(y + 1, 0, width - 1)] = BLACK
return image
def next_neighbor(central, neighbor):
neighbors = moore_neighbor(central)
index = np.where((np.array(neighbors) == neighbor).all(axis=1))[0][0]
index += 1
index = index % 8
# Problem operating like this:
# if the object of which i want to detect contours starts at the edges of the image there's the possibility
# of going out of bounds
return neighbors[index]
def iter_moore(image):
contour_pixels = np.zeros(image.shape, np.uint8)
contour_all = []
while np.any(image == WHITE):
contoured = np.zeros(image.shape, np.uint8)
contours = moore_neighbor_tracing(image)
for x, y in contours:
contoured[x, y] = WHITE
contour_pixels[x, y] = WHITE
image = delete_object(image, contoured, contours)
contour_all.append(contours)
return contour_all, contour_pixels
def get_neigh(coord, all_bound):
# Don't include diagonals
row, col = coord
candidates = [(row - 1, col), (row + 1, col),
(row, col - 1), (row, col + 1)]
neighbors = []
for neigh in candidates:
if neigh in all_bound:
neighbors.append(neigh)
return neighbors
def get_surf_points(coord, all_bound, use_only_outer=False):
neighbors = get_neigh(coord, all_bound)
if len(neighbors) < 3:
if len(neighbors) == 1:
neigh = neighbors[0]
rows = set([neigh[0], coord[0]])
cols = set([neigh[1], coord[1]])
if len(rows) > 1:
# neigh is either above or below coord
if coord[0] > neigh[0]:
# Use coord's bottom edge
return [(coord[0]+1, coord[1]), (coord[0]+1, coord[1]+1)]
return [(coord[0], coord[1]), (coord[0], coord[1]+1)]
else:
# neigh is either to the left or right of coord
if coord[1] > neigh[1]:
# Use coord's right edge
return [(coord[0], coord[1]+1), (coord[0]+1, coord[1]+1)]
return [(coord[0], coord[1]), (coord[0]+1, coord[1])]
else:
# L-shape:
top = True if neighbors[0][0] < coord[0] or neighbors[1][0] < coord[0] else False
bottom = True if neighbors[0][0] > coord[0] or neighbors[1][0] > coord[0] else False
left = True if neighbors[0][1] < coord[1] or neighbors[1][1] < coord[1] else False
right = True if neighbors[0][1] > coord[1] or neighbors[1][1] > coord[1] else False
if not use_only_outer:
if (top and right) or (bottom and left):
# Get coord's top right and bottom left corners
return [(coord[0], coord[1]+1), (coord[0]+1, coord[1])]
elif (top and left) or (bottom and right):
# Get coord's top left and bottom right corners
return [(coord[0], coord[1]), (coord[0]+1, coord[1]+1)]
else:
# Not an L-shape
return []
else:
# In the case of RectSolid
if top and right:
return [(coord[0]+1, coord[1])]
elif top and left:
return [(coord[0]+1, coord[1]+1)]
elif bottom and right:
return [(coord[0], coord[1])]
elif bottom and left:
return [(coord[0], coord[1]+1)]
else:
return []
else:
# T-shape:
first = neighbors[0]
# adj is the protruding pixel of the T-shape
adj = None
if neighbors[1][0] == first[0] or neighbors[1][1] == first[1]:
adj = neighbors[2]
elif neighbors[2][0] == first[0] or neighbors[2][1] == first[1]:
adj = neighbors[1]
if adj is None:
adj = first
rows = set([coord[0], adj[0]])
if len(rows) == 1:
# adj is either on the left or right of coord
if adj[1] > coord[1]:
# Use the left edge of adj, i.e. the edge that is shared with coord
return [(adj[0], adj[1]), (adj[0]+1, adj[1])]
# Use right edge of adj
return [(adj[0], adj[1] + 1), (adj[0]+1, adj[1] + 1)]
else:
if adj[0] > coord[0]:
# Use the top edge of adj, i.e. the edge that is shared with coord
return [(adj[0], adj[1]), (adj[0], adj[1]+1)]
# Use bottom edge of adj
return [(adj[0]+1, adj[1]), (adj[0]+1, adj[1]+1)]
def reorder(surf_points, add_thick_surf):
"""Reorder points such that consecutive points don't form a line that crosses
the surface.
add_thick: [min, max) values by which to expand the thickness of the surface.
This is done by moving surface points in the opposite direction of the inside of
the surface.
"""
set_points = set(surf_points)
ordered_points = []
sampled_add = np.random.uniform(*add_thick_surf)
while len(set_points) > 0:
curr_points = sorted(list(set_points)) # Need to sort to get a point in a corner
curr = curr_points[0]
prev_dir = None
while curr is not None:
set_points.remove(curr)
ordered_points.append(curr)
# Get the next point
shared_x = sorted(list(filter(lambda coord: coord[0] == curr[0], set_points)), key=lambda coord: abs(coord[1] - curr[1]))
shared_y = sorted(list(filter(lambda coord: coord[1] == curr[1], set_points)), key=lambda coord: abs(coord[0] - curr[0]))
# Set curr and currdir
curr = None
curr_dir = None
# 1 is vertical direction, 0 is horizontal
if len(shared_x) != 0 and prev_dir != "1":
curr = shared_x[0]
curr_dir = "1"
if len(shared_y) != 0 and prev_dir != "0":
curr = shared_y[0]
curr_dir = "0"
prev_dir = curr_dir
ordered_points.append(curr_points[0]) # Make sure to close the surface
assert set(ordered_points) == set(surf_points)
return ordered_points
def reorder(surf_points, add_thick_surf, canvas_size):
"""Reorder points such that consecutive points don't form a line that crosses
the surface.
add_thick: [min, max) values by which to expand the thickness of the surface.
This is done by moving surface points in the opposite direction of the inside of
the surface.
TODO: does not check for overlapping edges which may occur when max >= 1
"""
assert add_thick_surf[1] <= 1, "Thickness >= 1 may result in edge overlapping"
set_points = set(surf_points)
ordered_points = []
sampled_add = np.random.uniform(*add_thick_surf)
drawn = np.pad(np.zeros((canvas_size, canvas_size)), ((1, 1), (1, 1)), 'constant', constant_values=(BLACK, BLACK))
while len(set_points) > 0:
curr_points = sorted(list(set_points)) # Need to sort to get a point in a corner
curr = curr_points[0]
# Always go counter clockwise
prev_dir = None
while curr is not None:
set_points.remove(curr)
ordered_points.append(curr)
# Get the next point
shared_x = sorted(list(filter(lambda coord: coord[0] == curr[0], set_points)), key=lambda coord: abs(coord[1] - curr[1]))
shared_y = sorted(list(filter(lambda coord: coord[1] == curr[1], set_points)), key=lambda coord: abs(coord[0] - curr[0]))
# Set curr and currdir
prev_curr = curr
curr = None
curr_dir = None
# 1 is vertical direction, 0 is horizontal
# l is left, r is right, u is up, d is down
if len(shared_x) != 0 and prev_dir != "1":
curr = shared_x[0]
iter_dir = -1 if curr[1] - prev_curr[1] < 0 else 1
for y_coord in range(prev_curr[1], curr[1] + iter_dir, iter_dir):
drawn[curr[0], y_coord] = WHITE
curr_dir = "1"
if len(shared_y) != 0 and prev_dir != "0":
curr = shared_y[0]
iter_dir = -1 if curr[0] - prev_curr[0] < 0 else 1
for x_coord in range(prev_curr[0], curr[0] + iter_dir, iter_dir):
drawn[x_coord, curr[1]] = WHITE
curr_dir = "0"
prev_dir = curr_dir
ordered_points.append(curr_points[0]) # Make sure to close the surface
# Iterate through ordered points and shift them diagonally depending on neighbors
shifted_points = []
for point in ordered_points:
px, py = point[0], point[1]
# Left, top, right, bottom neighbors
adj = np.array([drawn[px, py-1], drawn[px-1, py],
drawn[px, py+1], drawn[px+1, py]])
shifted = None
if np.sum(adj) == 2:
if adj[0]:
if adj[1]:
# Neighbors are left and top, so shift in bottom right
shifted = (px + sampled_add, py + sampled_add)
elif adj[3]:
# Neighbors are left and bottom, so shift in top right
shifted = (px - sampled_add, py + sampled_add)
elif adj[2]:
if adj[1]:
# Neighbors are right and top, so shift in bottom left
shifted = (px + sampled_add, py - sampled_add)
elif adj[3]:
# Neighbors are right and bottom, so shift in top left
shifted = (px - sampled_add, py - sampled_add)
elif np.sum(adj) == 4:
# Top left, top right, bottom right, bottom left
diag_adj = np.array([drawn[px-1, py-1], drawn[px-1, py+1],
drawn[px+1, py+1], drawn[px+1, py-1]])
if np.sum(diag_adj) == 3:
min_idx = np.argmin(diag_adj)
# Shift in direction where there is no diag neighbor
if min_idx == 0:
shifted = (px - sampled_add, py - sampled_add)
elif min_idx == 1:
shifted = (px - sampled_add, py + sampled_add)
elif min_idx == 2:
shifted = (px + sampled_add, py + sampled_add)
else:
shifted = (px + sampled_add, py - sampled_add)
if shifted is None:
# If a point has three neighbors, then the shape is too small to add thickness
shifted_points = ordered_points
break
shifted_points.append(shifted)
return shifted_points
def get_all_surf_points(all_bound, use_only_outer=False):
all_surf_points = []
for pixel in all_bound:
surf_points = get_surf_points(pixel, all_bound, use_only_outer=use_only_outer)
all_surf_points.extend(surf_points)
return all_surf_points
def povray_transform(all_surf_points, canvas_size):
transformed = []
for point in all_surf_points:
transformed.append((point[1], canvas_size-point[0]))
return transformed
def get_povray_points(obj_mask, obj_type, add_thick_surf=(0, 0)):
# Shape mask is the mask of one shape
obj = to_np_array(obj_mask)
canvas_size = obj.shape[0]
obj_contours, contour_pixels = iter_moore(deepcopy(obj))
all_bound = set(obj_contours[0])
all_surf_points = get_all_surf_points(all_bound,
use_only_outer = (True if obj_type == "rectangleSolid" else False))
ordered = povray_transform(reorder(all_surf_points, add_thick_surf, canvas_size), canvas_size)
return ordered
def get_rand_color():
rgb_array = np.random.rand(3)
if not np.any(rgb_array >= COLOR_THRESH):
idx = np.random.randint(0, 3)
rgb_array[idx] = COLOR_THRESH
return rgb_array
def convert_example(example, args, tempfile):
# Converts a single example in a dataset
center = example[0].shape[1] / 2
camera = Camera( 'location', [center, center * 2.5, center - DEGREE_OFFSET],
'look_at', [center, 0, center] )
light = LightSource( [center, center, center], 'color', [1,1,1] )
info = example[3]
id_object_mask = info['id_object_mask']
node_id_map = info['node_id_map']
example_3d = list(deepcopy(example))
example_3d[1] = list(example_3d[1])
objects_lst = [light]
# Go through the object spec
for obj in info['obj_spec']:
obj_name, obj_desc = obj[0]
obj_type = obj_desc.split("_")[0]
obj_mask = id_object_mask[node_id_map[obj_name]].squeeze()
# Map color to RGB
obj_img = (obj_mask * example[0])
if not args.color_map_3d == "random":
# Get any pixel in the object
pixel_coord = torch.nonzero(obj_img)[0]
# The channel dim is the first one
rgb_color = COLOR_DICT[pixel_coord[0].item()]
else:
rgb_color = get_rand_color()
# Get the object in 3D space
ordered = get_povray_points(obj_mask, obj_type, add_thick_surf=args.add_thick_surf)
prism_depth = 1 + np.random.uniform(*args.add_thick_depth)
prism = Prism(
'linear_sweep',
'linear_spline',
0, # sweep the following shape from here ...
prism_depth, # ... up through here
len(ordered), # The number of points making up the shape ...
*ordered,
Texture( Pigment( 'color', 'rgb', rgb_color),
DEFAULT_NORMAL,
DEFAULT_PHONG),
'rotate', (0, 0, 0)
)
objects_lst.append(prism)
scene = Scene( camera = camera , # a Camera object
objects= [light, prism], # POV-Ray objects (items, lights)
included = ["colors.inc"]) # headers that POV-Ray may need
# Permute from [H, W, C] to [C, H, W]
rendered = scene.render(width=args.image_size_3d[0], height=args.image_size_3d[1], tempfile=tempfile)
obj_3d = torch.tensor(rendered, dtype=torch.float32).permute(2, 0, 1)
obj_3d_mask = torch.any(obj_3d != 0, dim=0).float()
# Reduce the channel dimension
example_3d[3]['id_object_mask'][example_3d[3]['node_id_map'][obj_name]] = obj_3d_mask
for i, gt_mask in enumerate(example[1]):
if torch.all(torch.eq(obj_mask, gt_mask)):
example_3d[1][i] = obj_3d_mask.unsqueeze(0)
# Render the image separately to avoid occlusion issues
scene = Scene( camera = camera , # a Camera object
objects= objects_lst, # POV-Ray objects (items, lights)
included = ["colors.inc"]) # headers that POV-Ray may need
full_img = torch.tensor(scene.render(width=args.image_size_3d[0], height=args.image_size_3d[1], tempfile=tempfile),
dtype=torch.float32).permute(2, 0, 1)
example_3d[0] = full_img / 255 # RGB values must be in [0, 1] range
example_3d[1] = tuple(example_3d[1])
return tuple(example_3d)
def iter_examples(seed, tup_dataset, args):
set_seed(seed)
dataset_3d = []
for i, example in enumerate(tup_dataset):
if i % 200 == 0:
print(i)
dataset_3d.append(convert_example(example, args, f"temp{os.getpid()}.pov"))
return dataset_3d
def convert_babyarc(babyarc_dataset, args):
if args.num_processes_3d == 1:
return iter_examples(args.seed_3d, babyarc_dataset, args)
else:
assert args.num_processes_3d > 0
# Create iterable of arguments
lst_indices = np.linspace(0, len(babyarc_dataset), num=args.num_processes_3d+1, dtype=np.int32)
convert_args = zip([args.seed_3d + i for i in range(args.num_processes_3d)],
[[babyarc_dataset[j] for j in range(first, second)] for first, second in zip(lst_indices, lst_indices[1:])],
[args] * args.num_processes_3d)
pool = Pool(processes=args.num_processes_3d)
results = pool.starmap(iter_examples, convert_args)
pool.close()
pool.join()
combined_results = []
for res in results:
combined_results.extend(res)
return combined_results
# ## 1.1 Basic POVRay Testing
# In[ ]:
# if __name__ == "__main__":
# camera = Camera( 'location', [0,2,-5], 'look_at', [0,1,2] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# sphere = Sphere( [0,1,2], 2, Texture( Pigment( 'color', [1,0,1] )))
# scene = Scene( camera = camera , # a Camera object
# objects= [light, sphere], # POV-Ray objects (items, lights)
# # atmospheric = [fog], # Light-interacting objects
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/sphere', width=300, height=300)
# In[ ]:
# if __name__ == "__main__":
# camera = Camera( 'location', [0,0,-20], 'look_at', [0, 0, 0] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 7, # The number of points making up the shape ...
# (3,5), (-3,5), (-5,0), (-3,-5), (3, -5), (5,0), (3,5),
# Texture( Pigment( 'color', [0.1, 0, 0])),
# 'rotate', (90, 15, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/prism', width=300, height=300)
# In[ ]:
# if __name__ == "__main__":
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,3], 'color', [1,1,1] )
# prism1 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# prism2 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 30)
# )
# prism3 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (30, 0, 0)
# )
# prism4 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism1], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/prism_hollow', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism2], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/prism_hollow2', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism3], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/prism_hollow3', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism4], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render('3D/prism_hollow4', width=300, height=500)
# In[ ]:
# if __name__ == "__main__":
# camera = Camera( 'location', [8, 20, 8 - 16.8], 'look_at', [8, 0, 8] )
# light = LightSource( [8,8,8], 'color', [1,1,1] )
# prefix = "cam_"
# prism1 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [0, 0, 1]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# prism2 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,5), (9,5), (9,10), (3, 10), (3, 5), (4,6), (8,6), (8,9), (4, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [1, 0, 0]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# prism3 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(9,5), (15,5), (15,10), (9, 10), (9, 5), (10,6), (14,6), (14,9), (10, 9)], 16),
# Texture( Pigment( 'color', 'rgb', [1, 0, 0]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# prism4 = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# 9, # The number of points making up the shape ...
# *povray_transform([(3,10), (9,10), (9,15), (3, 15), (3, 10), (4,11), (8,11), (8,14), (4, 14)], 16),
# Texture( Pigment( 'color', 'rgb', [1, 0, 0]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# DEFAULT_PHONG),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism1], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f'3D/{prefix}prism_hollow', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism2], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f'3D/{prefix}prism_hollow2', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism3], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f'3D/{prefix}prism_hollow3', width=300, height=500)
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism4], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f'3D/{prefix}prism_hollow4', width=300, height=500)
# ## 1.2 Test Letters
# In[ ]:
# from reasoning.experiments.concept_energy import get_dataset, ConceptDataset, ConceptCompositionDataset
# In[ ]:
# if __name__ == "__main__":
# args = init_args({
# "dataset": "c-Eshape+Cshape+Fshape+Tshape^Eshape",
# "seed": 1,
# "n_examples":10,
# "canvas_size": 16,
# "rainbow_prob": 0.,
# "color_avail": "1,2",
# "w_type": "mask",
# "max_n_distractors": 2,
# })
# dataset, args = get_dataset(args, is_load=False)
# print(dataset[0][3])
# print(dataset[0][3]['obj_spec'])
# print(dataset[1][3]['obj_spec'])
# print(dataset[3][3]['obj_spec'])
# print(dataset[4][3]['obj_spec'])
# print(dataset[5][3]['obj_spec'])
# print(dataset[9][3]['obj_spec'])
# obj_dct = {}
# obj_dct["E1"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_1']], 'Eshape'
# obj_dct["F1"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_0']], 'Fshape'
# obj_dct["E2"] = dataset[1][3]['id_object_mask'][0], 'Eshape'
# obj_dct["C1"] = dataset[3][3]['id_object_mask'][dataset[3][3]['node_id_map']['obj_0']], 'Cshape'
# obj_dct["F2"] = dataset[3][3]['id_object_mask'][dataset[3][3]['node_id_map']['obj_1']], 'Fshape'
# obj_dct["E3"] = dataset[3][3]['id_object_mask'][dataset[3][3]['node_id_map']['obj_2']], 'Eshape'
# obj_dct["T1"] = dataset[4][3]['id_object_mask'][dataset[4][3]['node_id_map']['obj_1']], 'Tshape'
# In[ ]:
# if __name__ == "__main__":
# for obj_name, obj_tup in obj_dct.items():
# print(obj_name)
# print(obj_tup)
# ordered = get_povray_points(*obj_tup)
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/{obj_name}", width=500, height=500)
# # Test thickness
# ordered = get_povray_points(*obj_tup, (0.5, 0.5))
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/thick_{obj_name}", width=500, height=500)
# In[ ]:
# if __name__ == "__main__":
# args = init_args({
# "dataset": "c-Ashape",
# "seed": 1,
# "n_examples": 10,
# "canvas_size": 16,
# "rainbow_prob": 0.,
# "color_avail": "1,2",
# "w_type": "image+mask",
# "max_n_distractors": 2,
# })
# dataset, args = get_dataset(args, is_load=True)
# print(dataset[0][3]['obj_spec'])
# print(dataset[1][3]['obj_spec'])
# print(dataset[3][3]['obj_spec'])
# print(dataset[4][3]['obj_spec'])
# print(dataset[5][3]['obj_spec'])
# print(dataset[9][3]['obj_spec'])
# obj_dct ={}
# obj_dct["A1"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_0']], 'Ashape'
# obj_dct["A2"] = dataset[1][3]['id_object_mask'][dataset[1][3]['node_id_map']['obj_1']], 'Ashape'
# In[ ]:
# if __name__ == "__main__":
# for obj_name, obj_tup in obj_dct.items():
# print(obj_name)
# print(obj_tup)
# ordered = get_povray_points(*obj_tup)
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/{obj_name}", width=500, height=500)
# # Test thickness
# ordered = get_povray_points(*obj_tup, (0.5, 0.5))
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/thick_{obj_name}", width=500, height=500)
# ## 1.3 Test ARC Shapes
# In[ ]:
# from reasoning.experiments.concept_energy import get_dataset, ConceptDataset, ConceptCompositionDataset
# In[ ]:
# if __name__ == "__main__":
# args = init_args({
# "dataset": "c-Line+Lshape+Rect+RectSolid",
# "seed": 1,
# "n_examples": 20,
# "canvas_size": 16,
# "rainbow_prob": 0.,
# "color_avail": "1,2",
# "w_type": "image+mask",
# "max_n_distractors": 2,
# })
# dataset, args = get_dataset(args, is_load=True)
# print(dataset[0][3]['obj_spec'])
# print(dataset[1][3]['obj_spec'])
# print(dataset[3][3]['obj_spec'])
# print(dataset[4][3]['obj_spec'])
# print(dataset[15][3]['obj_spec'])
# print(dataset[16][3]['obj_spec'])
# obj_dct = {}
# obj_dct["rect_solid1"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_1']], "rectangleSolid"
# obj_dct["rect1"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_0']], "rectangle"
# obj_dct["LShape1"] = dataset[3][3]['id_object_mask'][dataset[3][3]['node_id_map']['obj_0']], "Lshape"
# obj_dct["Line1"] = dataset[15][3]['id_object_mask'][dataset[15][3]['node_id_map']['obj_0']], "line"
# In[ ]:
# if __name__ == "__main__":
# for obj_name, obj_tup in obj_dct.items():
# print(obj_name)
# print(obj_tup)
# ordered = get_povray_points(*obj_tup, (0, 0))
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/{obj_name}", width=500, height=500)
# # Test thickness
# ordered = get_povray_points(*obj_tup, (0.5, 0.5))
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )
# scene = Scene( camera = camera , # a Camera object
# objects= [light, prism], # POV-Ray objects (items, lights)
# included = ["colors.inc"]) # headers that POV-Ray may need
# scene.render(f"3D/thick_{obj_name}", width=500, height=500)
# In[ ]:
# if __name__ == "__main__":
# args = init_args({
# "dataset": "c-Line",
# "seed": 1,
# "n_examples": 10,
# "canvas_size": 16,
# "rainbow_prob": 0.,
# "color_avail": "1,2",
# "w_type": "image+mask",
# "max_n_distractors": 2,
# })
# dataset, args = get_dataset(args, is_load=True)
# print(dataset[0][3]['obj_spec'])
# print(dataset[1][3]['obj_spec'])
# print(dataset[3][3]['obj_spec'])
# print(dataset[4][3]['obj_spec'])
# obj_dct = {}
# obj_dct["Line2"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_1']], "line"
# obj_dct["Line3"] = dataset[0][3]['id_object_mask'][dataset[0][3]['node_id_map']['obj_0']], "line"
# In[ ]:
# if __name__ == "__main__":
# for obj_name, obj_tup in obj_dct.items():
# print(obj_name)
# print(obj_tup)
# ordered = get_povray_points(*obj_tup)
# camera = Camera( 'location', [8, 20, 8], 'look_at', [8, 0, 8] )
# light = LightSource( [2,4,-3], 'color', [1,1,1] )
# prism = Prism(
# 'linear_sweep',
# 'linear_spline',
# 0, # sweep the following shape from here ...
# 1, # ... up through here
# len(ordered), # The number of points making up the shape ...
# *ordered,
# Texture( Pigment( 'color', 'rgb', [0.8*i for i in [1.00,0.95,0.8]]),
# Normal('bumps', 0.75, 'scale', 0.0125),
# Finish('phong', 0.1)),
# 'rotate', (0, 0, 0)
# )