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reformat and fix temp input dir bug
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@chenxwh
chenxwh authored Sep 28, 2021
1 parent 05d9ed4 commit e9f55ec
Showing 1 changed file with 144 additions and 143 deletions.
287 changes: 144 additions & 143 deletions predict.py
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Original file line number Diff line number Diff line change
@@ -1,11 +1,10 @@
import tempfile
from pathlib import Path
import argparse
import sys
import shutil
import os
import cv2
import glob
import cv2
import cog
from run import run_cmd

Expand Down Expand Up @@ -50,162 +49,164 @@ def setup(self):
help="whether the input image is scratched",
)
def predict(self, image, HR=False, with_scratch=False):
os.chdir(self.basepath)
input_path = os.path.join(self.opts.input_folder, os.path.basename(image))
shutil.copy(str(image), input_path)

gpu1 = self.opts.GPU

## Stage 1: Overall Quality Improve
print("Running Stage 1: Overall restoration")
os.chdir("./Global")
stage_1_input_dir = self.opts.input_folder
stage_1_output_dir = os.path.join(
self.opts.output_folder, "stage_1_restore_output"
)

os.makedirs(stage_1_output_dir, exist_ok=True)

if not with_scratch:

stage_1_command = (
"python test.py --test_mode Full --Quality_restore --test_input "
+ stage_1_input_dir
+ " --outputs_dir "
+ stage_1_output_dir
+ " --gpu_ids "
+ gpu1
)
run_cmd(stage_1_command)
else:

mask_dir = os.path.join(stage_1_output_dir, "masks")
new_input = os.path.join(mask_dir, "input")
new_mask = os.path.join(mask_dir, "mask")
stage_1_command_1 = (
"python detection.py --test_path "
+ stage_1_input_dir
+ " --output_dir "
+ mask_dir
+ " --input_size full_size"
+ " --GPU "
+ gpu1
)

if HR:
HR_suffix = " --HR"
else:
HR_suffix = ""

stage_1_command_2 = (
"python test.py --Scratch_and_Quality_restore --test_input "
+ new_input
+ " --test_mask "
+ new_mask
+ " --outputs_dir "
+ stage_1_output_dir
+ " --gpu_ids "
+ gpu1
+ HR_suffix
try:
os.chdir(self.basepath)
input_path = os.path.join(self.opts.input_folder, os.path.basename(image))
shutil.copy(str(image), input_path)

gpu1 = self.opts.GPU

## Stage 1: Overall Quality Improve
print("Running Stage 1: Overall restoration")
os.chdir("./Global")
stage_1_input_dir = self.opts.input_folder
stage_1_output_dir = os.path.join(
self.opts.output_folder, "stage_1_restore_output"
)

run_cmd(stage_1_command_1)
run_cmd(stage_1_command_2)
os.makedirs(stage_1_output_dir, exist_ok=True)

## Solve the case when there is no face in the old photo
stage_1_results = os.path.join(stage_1_output_dir, "restored_image")
stage_4_output_dir = os.path.join(self.opts.output_folder, "final_output")
os.makedirs(stage_4_output_dir, exist_ok=True)
for x in os.listdir(stage_1_results):
img_dir = os.path.join(stage_1_results, x)
shutil.copy(img_dir, stage_4_output_dir)
if not with_scratch:

print("Finish Stage 1 ...")
print("\n")
stage_1_command = (
"python test.py --test_mode Full --Quality_restore --test_input "
+ stage_1_input_dir
+ " --outputs_dir "
+ stage_1_output_dir
+ " --gpu_ids "
+ gpu1
)
run_cmd(stage_1_command)
else:

## Stage 2: Face Detection
mask_dir = os.path.join(stage_1_output_dir, "masks")
new_input = os.path.join(mask_dir, "input")
new_mask = os.path.join(mask_dir, "mask")
stage_1_command_1 = (
"python detection.py --test_path "
+ stage_1_input_dir
+ " --output_dir "
+ mask_dir
+ " --input_size full_size"
+ " --GPU "
+ gpu1
)

if HR:
HR_suffix = " --HR"
else:
HR_suffix = ""

stage_1_command_2 = (
"python test.py --Scratch_and_Quality_restore --test_input "
+ new_input
+ " --test_mask "
+ new_mask
+ " --outputs_dir "
+ stage_1_output_dir
+ " --gpu_ids "
+ gpu1
+ HR_suffix
)

run_cmd(stage_1_command_1)
run_cmd(stage_1_command_2)

## Solve the case when there is no face in the old photo
stage_1_results = os.path.join(stage_1_output_dir, "restored_image")
stage_4_output_dir = os.path.join(self.opts.output_folder, "final_output")
os.makedirs(stage_4_output_dir, exist_ok=True)
for x in os.listdir(stage_1_results):
img_dir = os.path.join(stage_1_results, x)
shutil.copy(img_dir, stage_4_output_dir)

print("Finish Stage 1 ...")
print("\n")

## Stage 2: Face Detection

print("Running Stage 2: Face Detection")
os.chdir(".././Face_Detection")
stage_2_input_dir = os.path.join(stage_1_output_dir, "restored_image")
stage_2_output_dir = os.path.join(
self.opts.output_folder, "stage_2_detection_output"
)
os.makedirs(stage_2_output_dir, exist_ok=True)

print("Running Stage 2: Face Detection")
os.chdir(".././Face_Detection")
stage_2_input_dir = os.path.join(stage_1_output_dir, "restored_image")
stage_2_output_dir = os.path.join(
self.opts.output_folder, "stage_2_detection_output"
)
os.makedirs(stage_2_output_dir, exist_ok=True)
stage_2_command = (
"python detect_all_dlib_HR.py --url "
+ stage_2_input_dir
+ " --save_url "
+ stage_2_output_dir
)

stage_2_command = (
"python detect_all_dlib_HR.py --url "
+ stage_2_input_dir
+ " --save_url "
+ stage_2_output_dir
)
run_cmd(stage_2_command)
print("Finish Stage 2 ...")
print("\n")

## Stage 3: Face Restore
print("Running Stage 3: Face Enhancement")
os.chdir(".././Face_Enhancement")
stage_3_input_mask = "./"
stage_3_input_face = stage_2_output_dir
stage_3_output_dir = os.path.join(
self.opts.output_folder, "stage_3_face_output"
)

run_cmd(stage_2_command)
print("Finish Stage 2 ...")
print("\n")

## Stage 3: Face Restore
print("Running Stage 3: Face Enhancement")
os.chdir(".././Face_Enhancement")
stage_3_input_mask = "./"
stage_3_input_face = stage_2_output_dir
stage_3_output_dir = os.path.join(
self.opts.output_folder, "stage_3_face_output"
)
os.makedirs(stage_3_output_dir, exist_ok=True)

os.makedirs(stage_3_output_dir, exist_ok=True)

self.opts.checkpoint_name = "FaceSR_512"
stage_3_command = (
"python test_face.py --old_face_folder "
+ stage_3_input_face
+ " --old_face_label_folder "
+ stage_3_input_mask
+ " --tensorboard_log --name "
+ self.opts.checkpoint_name
+ " --gpu_ids "
+ gpu1
+ " --load_size 512 --label_nc 18 --no_instance --preprocess_mode resize --batchSize 1 --results_dir "
+ stage_3_output_dir
+ " --no_parsing_map"
)
self.opts.checkpoint_name = "FaceSR_512"
stage_3_command = (
"python test_face.py --old_face_folder "
+ stage_3_input_face
+ " --old_face_label_folder "
+ stage_3_input_mask
+ " --tensorboard_log --name "
+ self.opts.checkpoint_name
+ " --gpu_ids "
+ gpu1
+ " --load_size 512 --label_nc 18 --no_instance --preprocess_mode resize --batchSize 1 --results_dir "
+ stage_3_output_dir
+ " --no_parsing_map"
)

run_cmd(stage_3_command)
print("Finish Stage 3 ...")
print("\n")

## Stage 4: Warp back
print("Running Stage 4: Blending")
os.chdir(".././Face_Detection")
stage_4_input_image_dir = os.path.join(stage_1_output_dir, "restored_image")
stage_4_input_face_dir = os.path.join(stage_3_output_dir, "each_img")
stage_4_output_dir = os.path.join(self.opts.output_folder, "final_output")
os.makedirs(stage_4_output_dir, exist_ok=True)

stage_4_command = (
"python align_warp_back_multiple_dlib_HR.py --origin_url "
+ stage_4_input_image_dir
+ " --replace_url "
+ stage_4_input_face_dir
+ " --save_url "
+ stage_4_output_dir
)
run_cmd(stage_3_command)
print("Finish Stage 3 ...")
print("\n")

## Stage 4: Warp back
print("Running Stage 4: Blending")
os.chdir(".././Face_Detection")
stage_4_input_image_dir = os.path.join(stage_1_output_dir, "restored_image")
stage_4_input_face_dir = os.path.join(stage_3_output_dir, "each_img")
stage_4_output_dir = os.path.join(self.opts.output_folder, "final_output")
os.makedirs(stage_4_output_dir, exist_ok=True)

stage_4_command = (
"python align_warp_back_multiple_dlib_HR.py --origin_url "
+ stage_4_input_image_dir
+ " --replace_url "
+ stage_4_input_face_dir
+ " --save_url "
+ stage_4_output_dir
)

run_cmd(stage_4_command)
print("Finish Stage 4 ...")
print("\n")
run_cmd(stage_4_command)
print("Finish Stage 4 ...")
print("\n")

print("All the processing is done. Please check the results.")
print("All the processing is done. Please check the results.")

final_output = os.listdir(os.path.join(self.opts.output_folder, "final_output"))[0]
final_output = os.listdir(os.path.join(self.opts.output_folder, "final_output"))[0]

image_restore = cv2.imread(os.path.join(self.opts.output_folder, "final_output", final_output))
image_restore = cv2.imread(os.path.join(self.opts.output_folder, "final_output", final_output))

out_path = Path(tempfile.mkdtemp()) / "out.png"
out_path = Path(tempfile.mkdtemp()) / "out.png"

cv2.imwrite(str(out_path), image_restore)
clean_folder(self.opts.input_folder)
clean_folder(self.opts.output_folder)
cv2.imwrite(str(out_path), image_restore)
finally:
clean_folder(self.opts.input_folder)
clean_folder(self.opts.output_folder)
return out_path


Expand All @@ -218,4 +219,4 @@ def clean_folder(folder):
elif os.path.isdir(file_path):
shutil.rmtree(file_path)
except Exception as e:
print("Failed to delete %s. Reason: %s" % (file_path, e))
print(f"Failed to delete {file_path}. Reason:{e}")

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