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Update Cog predictor to use a set of default target images #131

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Update Cog predictor to use a set of default target images #131

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13 changes: 11 additions & 2 deletions predict.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import os
from glob import glob
import cog
import tempfile
from pathlib import Path
Expand All @@ -16,6 +18,12 @@
from insightface_func.face_detect_crop_single import Face_detect_crop as Face_detect_crop_single


TARGET_OPTIONS_DIR = "cog-targets"

def list_target_options():
return [os.path.basename(p).split(".")[0] for p in glob(f"{TARGET_OPTIONS_DIR}/*.jpg")]


class Predictor(cog.Predictor):
def setup(self):
self.transformer_Arcface = transforms.Compose([
Expand All @@ -24,10 +32,11 @@ def setup(self):
])

@cog.input("source", type=Path, help="source image")
@cog.input("target", type=Path, help="target image")
@cog.input("target", type=str, options=list_target_options(), help="target image")
@cog.input("mode", type=str, options=['single', 'all'], default='all',
help="swap a single face (the one with highest confidence by face detection) or all faces in the target image")
def predict(self, source, target, mode='all'):
target_path = f"{TARGET_OPTIONS_DIR}/{target}.jpg"

app = Face_detect_crop_multi(name='antelope', root='./insightface_func/models')

Expand All @@ -39,7 +48,7 @@ def predict(self, source, target, mode='all'):
options = TestOptions()
options.initialize()
opt = options.parser.parse_args(["--Arc_path", 'arcface_model/arcface_checkpoint.tar', "--pic_a_path", str(source),
"--pic_b_path", str(target), "--isTrain", False, "--no_simswaplogo"])
"--pic_b_path", target_path, "--isTrain", False, "--no_simswaplogo"])

str_ids = opt.gpu_ids.split(',')
opt.gpu_ids = []
Expand Down