def animate_effect(self,
current_point,
tensor_name="16x16/Conv0_up/weight"):
print("Plotting animation for", tensor_name)
# init
net = self.getter.serverside_handler._Gs # < ProgressiveGAN_Handler._Gs
# prepare the ordering
res = reconnector.dgb_get_res(net, tensor_name)
print("got res value as", res)
OVERALL_ORDER = self.tensor2fixed_order[
tensor_name] # these were prepared once to allow for smooth anim!
print("OVERALL_ORDER", len(OVERALL_ORDER))
print("debug OVERALL_ORDER", len(OVERALL_ORDER), min(OVERALL_ORDER),
max(OVERALL_ORDER))
#print("debug OVERALL_ORDER", OVERALL_ORDER)
plot_row = list(np.arange(0.0, 2.0,
0.01)) # + list(np.arange(2.0, 0.0, 0.1))
print("plot_row", len(plot_row), " : ", plot_row)
images = []
names = []
"""
for value_to_select in plot_row:
# 1.0 == res
end_val = int(value_to_select * res)
FIXED_ORDER = OVERALL_ORDER[:end_val]
"""
folder = "renders/ANIMATION/"
if not os.path.exists(folder):
os.mkdir(folder)
saved_already = 0
# real smooth turning on!
for end_val in range(0, 1024, 2): #range(len(OVERALL_ORDER))
# 1.0 == res
#end_val = int(value_to_select * res)
FIXED_ORDER = OVERALL_ORDER[:end_val]
print("--selected 0 to ", end_val, "getting in total",
len(FIXED_ORDER),
"of numbers from which we will create pairs")
edited_net = reconnector.reconnect_DIRECT_ORDER(
net, FIXED_ORDER, tensor_name)
# generate image!
latents = np.asarray([current_point])
image = self.getter.latent_to_image_localServerSwitch(latents)
#images.append(image)
name = "_effect-" + str(end_val)
filename = folder + "saved_" + str(saved_already).zfill(
4) + name + ".png"
saved_already += 1
print("Saving in good quality as ", filename)
cv2.imwrite(filename, image)
# Restart the network afterwards!
net = reconnector.restore_net(edited_net)
print("SAVED ALL")
def one_row_effectStrength_of_reconnector(
self,
current_point,
tensor_name="16x16/Conv0_up/weight",
all_name="all.png",
save_individuals=False,
save_rows=False,
plot_row=[0, 0.5, 1.0, 2.0]):
print("Plotting row for", tensor_name)
# init
net = self.getter.serverside_handler._Gs # < ProgressiveGAN_Handler._Gs
# prepare the ordering
res = reconnector.dgb_get_res(net, tensor_name)
print("got res value as", res)
OVERALL_ORDER = self.tensor2fixed_order[
tensor_name] # these were prepared once to allow for smooth anim!
print("OVERALL_ORDER", len(OVERALL_ORDER))
print("debug OVERALL_ORDER", len(OVERALL_ORDER), min(OVERALL_ORDER),
max(OVERALL_ORDER))
#print("debug OVERALL_ORDER", OVERALL_ORDER)
print("plot_row", len(plot_row), " : ", plot_row)
images = []
names = []
for value_to_select in plot_row:
# 1.0 == res
end_val = int(value_to_select * res)
FIXED_ORDER = OVERALL_ORDER[:end_val]
edited_net = reconnector.reconnect_DIRECT_ORDER(
net, FIXED_ORDER, tensor_name)
# generate image!
latents = np.asarray([current_point])
image = self.getter.latent_to_image_localServerSwitch(latents)
# Add text?
include_texts = True
if include_texts:
font = cv2.FONT_HERSHEY_SIMPLEX
bottomRightCornerOfText = (
int((1024 - 100 - 25) * self.font_multiplier),
int((1024 - 25) * self.font_multiplier)
) # usually 16x16 to 256x256
topLeftCornerOfText = (int(25 * self.font_multiplier),
int((75 + 5) * self.font_multiplier)
) # usually 0.0 to 4.0
#bottomLeftCornerOfText = (10, 1000)
fontScale = 2 * self.font_multiplier
fontColor = (255, 255, 255)
lineThickness = max(int(3 * self.font_multiplier), 1)
cv2.putText(image, str(value_to_select),
bottomRightCornerOfText, font, fontScale,
fontColor, lineThickness)
if value_to_select == 0.0:
n = tensor_name.split("/")[0]
cv2.putText(image, n, topLeftCornerOfText, font, fontScale,
fontColor, lineThickness)
images.append(image)
names.append("_effect-" + str(value_to_select))
# Restart the network afterwards!
net = reconnector.restore_net(edited_net)
"""
if save_individuals:
# Save images as a row:
print("created", len(images), "images!")
saved_already = 0
for i, IMG in enumerate(images):
message = "Saved file"
folder = "DBG/"
if not os.path.exists(folder):
os.mkdir(folder)
filename = folder+"saved_" + str(saved_already).zfill(4) + names[i] + ".png"
saved_already += 1
print("Saving in good quality as ", filename)
cv2.imwrite(filename, IMG)
print("SAVED ALL")
"""
row = self.concatenate_images_h(images)
if save_rows:
folder = "renders/PLOTS/"
if not os.path.exists(folder):
os.mkdir(folder)
cv2.imwrite(folder + all_name, row)
return row