def generate(self, source, destination = None, samples = 20, grid_width=480, grid_height=240):
# Load the input and output of the graph
input = self.graph.get_tensor_by_name("en_input:0" )
output = self.graph.get_tensor_by_name("decoder/main_out:0")
# For generating a single image for a source image
if os.path.isfile(source):
image = loader.load_image(source, self.image_size, self.image_size)
batch = np.asarray([image for _ in range(self.batch_size)])
preds = self.session.run(output, feed_dict = {input: batch})
batch[0] = utils.add_border(batch[0],color = [1.0,0.0,0.0])
grid = np.concatenate((batch[0], preds[0]), axis=1)
grid = (grid * 255.0).astype(np.uint8)
# For generating a grid of images from a directory of images
elif os.path.isdir(source):
data = loader.DataSet(images_dir = source,
hard_load = False,
width = self.image_size,
height = self.image_size)
batch,_= data.next_batch(self.batch_size)
preds = self.session.run(output, feed_dict={input: batch})
for i in range(samples):
batch[i] = utils.add_border(batch[i],color = [1.0,0.0,0.0])
grid = self.construct_image_grid(batch,preds,samples,grid_width,grid_height)
else:
print(source,"must be an image pathname or a directory of images")
sys.exit()
if destination:
cv2.imwrite(destination, grid)
else:
cv2.imshow("images", grid)
cv2.waitKey()
def construct_image_grid(self, batch, preds, samples, grid_width, grid_height):
for i in range(samples):
batch[i] = utils.add_border(batch[i],color = [1.0,0.0,0.0])
N = samples >> 1
grid = [np.concatenate(tuple(batch[ :N] ), axis = 1),
np.concatenate(tuple(preds[ :N] ), axis = 1),
np.concatenate(tuple(batch[N:N << 1]), axis = 1),
np.concatenate(tuple(preds[N:N << 1]), axis = 1)]
grid = np.concatenate(tuple(grid), axis = 0)
grid = cv2.resize(grid, (grid_width, grid_height),
interpolation = cv2.INTER_AREA)
grid = (grid * 255.0).astype(np.uint8)
return grid
def plot_tsne_images(data_x, data_y, tx, ty, out_dir, DATASET, args, seed):
width = 1333
height = 1000
max_dim = 250
colors = ['red', 'yellow', 'green', 'blue', 'orange', 'indianred']#, 'cyan', 'pink', 'orange', 'brown']
full_image = Image.new('RGB', (width, height), color=(255,255,255))
for idx, x in enumerate(data_x):
tile = Image.fromarray(np.uint8(x * 255))
#tile = Image.open(img)
rs = max(4, tile.width / max_dim, tile.height / max_dim)
tile = tile.resize((int(tile.width / rs),
int(tile.height / rs)),
Image.ANTIALIAS)
tile = add_border(tile, border=2, color=colors[data_y[idx]])
full_image.paste(tile, (int((width-max_dim) * tx[idx]),
int((height-max_dim) * ty[idx])))
plt.figure(figsize = (8,6))
plt.imshow(full_image)
full_image.save(os.path.join(out_dir, f"{DATASET}_tsne_images_{seed}.png"))
