CalvinBackup/neuralchen-SimSwap
1
0
Fork 0
Code Issues 288 Pull Requests 16 Actions Packages Projects Releases 2 Wiki Activity

support test on video

Browse Source
This commit is contained in:
leixy
2021-06-15 17:53:23 +08:00
committed by GitHub
parent f333fd85a1
commit afe0452b42
1 changed files with 23 additions and 22 deletions
Download Patch File Download Diff File Expand all files Collapse all files

45
options/test_options.py
View File

@@ -1,22 +1,23 @@
from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self):
BaseOptions.initialize(self)
self.parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
self.parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
self.parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
self.parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
self.parser.add_argument('--how_many', type=int, default=50, help='how many test images to run')
self.parser.add_argument('--cluster_path', type=str, default='features_clustered_010.npy', help='the path for clustered results of encoded features')
self.parser.add_argument('--use_encoded_image', action='store_true', help='if specified, encode the real image to get the feature map')
self.parser.add_argument("--export_onnx", type=str, help="export ONNX model to a given file")
self.parser.add_argument("--engine", type=str, help="run serialized TRT engine")
self.parser.add_argument("--onnx", type=str, help="run ONNX model via TRT")
self.parser.add_argument("--Arc_path", type=str, default='models/BEST_checkpoint.tar', help="run ONNX model via TRT")
self.parser.add_argument("--pic_a_path", type=str, default='crop_224/gdg.jpg', help="people a")
self.parser.add_argument("--pic_b_path", type=str, default='crop_224/zrf.jpg', help="people b")
self.parser.add_argument("--output_path", type=str, default='output/', help="people b")
self.isTrain = False
from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self):
BaseOptions.initialize(self)
self.parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
self.parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
self.parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
self.parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
self.parser.add_argument('--how_many', type=int, default=50, help='how many test images to run')
self.parser.add_argument('--cluster_path', type=str, default='features_clustered_010.npy', help='the path for clustered results of encoded features')
self.parser.add_argument('--use_encoded_image', action='store_true', help='if specified, encode the real image to get the feature map')
self.parser.add_argument("--export_onnx", type=str, help="export ONNX model to a given file")
self.parser.add_argument("--engine", type=str, help="run serialized TRT engine")
self.parser.add_argument("--onnx", type=str, help="run ONNX model via TRT")
self.parser.add_argument("--Arc_path", type=str, default='models/BEST_checkpoint.tar', help="run ONNX model via TRT")
self.parser.add_argument("--pic_a_path", type=str, default='crop_224/gdg.jpg', help="people a")
self.parser.add_argument("--pic_b_path", type=str, default='crop_224/zrf.jpg', help="people b")
self.parser.add_argument("--output_path", type=str, default='output/', help="people b")
self.parser.add_argument("--video_path",type=str,help="people b video")
self.isTrain = False