Rename process to stream (#1053)

* rename process to stream

* remove /image and add webrtc_stream_video scaffolding

* remove _image

tests/test_api_stream.py

@@ -0,0 +1,99 @@
+import tempfile
+from typing import Iterator
+
+import cv2
+import numpy
+import pytest
+from starlette.testclient import TestClient
+
+from facefusion import metadata, session_manager, state_manager
+from facefusion.apis import asset_store
+from facefusion.apis.core import create_api
+from facefusion.core import common_pre_check, processors_pre_check
+from facefusion.download import conditional_download
+from .helper import get_test_example_file, get_test_examples_directory
+
+
+@pytest.fixture(scope = 'module', autouse = True)
+def before_all() -> None:
+	conditional_download(get_test_examples_directory(),
+	[
+		'https://github.com/facefusion/facefusion-assets/releases/download/examples-3.0.0/source.jpg'
+	])
+
+
+@pytest.fixture(scope = 'module')
+def test_client() -> Iterator[TestClient]:
+	state_manager.init_item('execution_device_ids', [ 0 ])
+	state_manager.init_item('execution_providers', [ 'cpu' ])
+	state_manager.init_item('download_providers', [ 'github', 'huggingface' ])
+	state_manager.init_item('temp_path', tempfile.gettempdir())
+	state_manager.init_item('processors', [ 'face_swapper' ])
+	state_manager.init_item('face_selector_mode', 'many')
+	state_manager.init_item('face_detector_model', 'yolo_face')
+	state_manager.init_item('face_detector_size', '640x640')
+	state_manager.init_item('face_detector_score', 0.5)
+	state_manager.init_item('face_detector_angles', [ 0 ])
+	state_manager.init_item('face_detector_margin', [ 0, 0, 0, 0 ])
+	state_manager.init_item('face_landmarker_model', '2dfan4')
+	state_manager.init_item('face_landmarker_score', 0.5)
+	state_manager.init_item('face_mask_types', [ 'box' ])
+	state_manager.init_item('face_mask_blur', 0.3)
+	state_manager.init_item('face_mask_padding', [ 0, 0, 0, 0 ])
+	state_manager.init_item('face_swapper_model', 'hyperswap_1a_256')
+	state_manager.init_item('face_swapper_pixel_boost', '256x256')
+	state_manager.init_item('face_swapper_weight', 0.5)
+
+	common_pre_check()
+	processors_pre_check()
+
+	with TestClient(create_api()) as test_client:
+		yield test_client
+
+
+@pytest.fixture(scope = 'function', autouse = True)
+def before_each() -> None:
+	state_manager.init_item('source_paths', None)
+	session_manager.SESSIONS.clear()
+	asset_store.clear()
+
+
+def test_stream_image(test_client : TestClient) -> None:
+	create_session_response = test_client.post('/session', json =
+	{
+		'client_version': metadata.get('version')
+	})
+	access_token = create_session_response.json().get('access_token')
+	source_path = get_test_example_file('source.jpg')
+
+	with open(source_path, 'rb') as source_file:
+		source_content = source_file.read()
+		upload_response = test_client.post('/assets?type=source', headers =
+		{
+			'Authorization': 'Bearer ' + access_token
+		}, files =
+		[
+			('file', ('source.jpg', source_content, 'image/jpeg'))
+		])
+
+	asset_id = upload_response.json().get('asset_ids')[0]
+
+	select_response = test_client.put('/state?action=select&type=source', json =
+	{
+		'asset_ids': [ asset_id ]
+	}, headers =
+	{
+		'Authorization': 'Bearer ' + access_token
+	})
+
+	assert select_response.status_code == 200
+
+	with test_client.websocket_connect('/stream', subprotocols =
+	[
+		'access_token.' + access_token
+	]) as websocket:
+		websocket.send_bytes(source_content)
+		output_bytes = websocket.receive_bytes()
+		output_vision_frame = cv2.imdecode(numpy.frombuffer(output_bytes, numpy.uint8), cv2.IMREAD_COLOR)
+
+	assert output_vision_frame.shape == (1024, 1024, 3)