Testing problem

[litterzq]

The model has been trained, and the following problems appeared in the final test. How can I solve them?

------------ Options ------------- aus_file: aus_openface.pkl batch_size: 4 checkpoints_dir: ./checkpoints cond_nc: 17 data_dir: None dataset_mode: aus do_saturate_mask: False gpu_ids: [0] image_size: 128 images_folder: imgs input_path: /media/zhangqi/8ACA684CCA68369B/tensorflow/GANimation-maste/img is_train: False load_epoch: 30 model: ganimation n_threads_test: 1 name: experiment_1 output_dir: ./output serial_batches: False test_ids_file: test_ids.csv train_ids_file: train_ids.csv -------------- End ---------------- ./checkpoints/experiment_1 Network generator_wasserstein_gan was created Network discriminator_wasserstein_gan was created loaded net: ./checkpoints/experiment_1/net_epoch_30_id_G.pth Model GANimation was created Traceback (most recent call last): File "test.py", line 74, in main() File "test.py", line 69, in main morph.morph_file(image_path, expression) File "test.py", line 28, in morph_file morphed_img = self._img_morph(img, expresion) File "test.py", line 33, in _img_morph bbs = face_recognition.face_locations(img) File "/home/zhangqi/anaconda3/envs/torch/lib/python3.6/site-packages/face_recognition/api.py", line 118, in face_locations return [_trim_css_to_bounds(_rect_to_css(face), img.shape) for face in _raw_face_locations(img, number_of_times_to_upsample, model)] File "/home/zhangqi/anaconda3/envs/torch/lib/python3.6/site-packages/face_recognition/api.py", line 102, in _raw_face_locations return face_detector(img, number_of_times_to_upsample) TypeError: call(): incompatible function arguments. The following argument types are supported: 1. (self: dlib.fhog_object_detector, image: array, upsample_num_times: int=0) -> dlib.rectangles

Invoked with: <dlib.fhog_object_detector object at 0x7fcbaf7b1180>, None, 1

[LinglanZhao]

Same problem. Have you solved it yet?

[Daviswww]

Your input path is "/media/zhangqi/8ACA684CCA68369B/tensorflow/GANimation-maste/img". You didn't choose the picture, try to "python test.py --input_path ./sample_dataset/imgs/N_0000000437_00540.jpg" the output img is in ./output.