Fix pre_check calls by updating model paths, fix red herring 'cv' errors.

[asutermo]

Several of the models are using removed or bad urls. I updated those and ran the scripts successfully. in standalone, and the lip syncer node in comfyui

This should fix some of the 'fake' cv errors popping up.

I added int codes for when pre_check fails and print messages to let you know when pre_check fails. Because there is no error handling for pre_check, the scripts continue trying to execute even when intermediate outputs were never created. This results in cases like LipSyncer failing with a cv error.

Also removed pycache and fixed a typo in gitignore

Sample Output:

(comfyui-work) PS D:\Work\src\ComfyUI-DeepFuze> python ./run.py --frame-processors face_enhancer --face-enhancer-model codeformer -t D:\\Work\\src\\ComfyUI\\output\\deepfuze\\17395604431507955.mp4 -o D:\\Work\\src\\ComfyUI\\output\\deepfuze\\enhanced_17395604431507955.mp4 --headless
Download https://github.com/facefusion/facefusion-assets/releases/download/models-3.0.0/open_nsfw.onnx to D:\Work\models\deepfuze
Download https://github.com/facefusion/facefusion-assets/releases/download/models-3.0.0/2dfan4.onnx to D:\Work\models\deepfuze
Download https://huggingface.co/JackCui/facefusion/resolve/main/face_landmarker_68_5.onnx to D:\Work\models\deepfuze
Download https://huggingface.co/JackCui/facefusion/resolve/main/gender_age.onnx to D:\Work\models\deepfuze
Download https://github.com/facefusion/facefusion-assets/releases/download/models-3.0.0/yoloface_8n.onnx to D:\Work\models\deepfuze
Download https://github.com/facefusion/facefusion-assets/releases/download/models-3.0.0/arcface_w600k_r50.onnx to D:\Work\models\deepfuze
Download https://huggingface.co/JackCui/facefusion/resolve/main/face_occluder.onnx to D:\Work\models\deepfuze
Download https://huggingface.co/JackCui/facefusion/resolve/main/face_parser.onnx to D:\Work\models\deepfuze
Download https://huggingface.co/JackCui/facefusion/resolve/main/voice_extractor.onnx to D:\Work\models\deepfuze
Download https://github.com/facefusion/facefusion-assets/releases/download/models-3.0.0/codeformer.onnx to D:\Work\models\deepfuze
Downloading: 100%|==================================================================| 359M/359M [00:08<00:00, 43.3MB/s]
Analysing: 100%|===========================================================| 94/94 [00:00<00:00, 698.79frame/s, rate=0]
[DEEPFUZE.CORE] Extracting frames with a resolution of 640x360 and 29.97002997002997 frames per second
[DEEPFUZE.PROCESSORS.FRAME.MODULES.FACE_ENHANCER] Processing
Processing: 100%|=| 94/94 [01:32<00:00,  1.02frame/s, execution_providers=['cpu'], execution_thread_count=4, execution_
[DEEPFUZE.CORE] Merging video with a resolution of 640x360 and 29.97002997002997 frames per second
[DEEPFUZE.CORE] Processing to video succeed in 93.53 seconds