Update notebook.txt
Browse files- notebook.txt +65 -1
notebook.txt
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@@ -13,4 +13,68 @@ from huggingface_hub import hf_hub_download
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repo_id = "AshanGimhana/NewFWModelV1"
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model_filename = "inswapperFTV1Model.onnx"
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repo_id = "AshanGimhana/NewFWModelV1"
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model_filename = "inswapperFTV1Model.onnx"
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model_path = hf_hub_download(repo_id=repo_id, filename=model_filename)
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----------------------------------------------------------------------------
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model = "copy path and paste"
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----------------------------------------------------------------------------
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from matplotlib import pyplot as plt
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import cv2
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import insightface
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import numpy as np
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-----------------------------------------------------------------------------
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providers = ["CPUExecutionProvider"]
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-----------------------------------------------------------------------------
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target_frame = cv2.imread('Enter reference image path')
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src_frame = cv2.imread("Enter user image path")
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fig = plt.figure()
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ax1 = fig.add_subplot(1,2,1)
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ax1.imshow(cv2.cvtColor(src_frame, cv2.COLOR_BGR2RGB))
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ax2 = fig.add_subplot(1,2,2)
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ax2.imshow(cv2.cvtColor(target_frame, cv2.COLOR_BGR2RGB))
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plt.show()
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------------------------------------------------------------------------------
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FACE_ANALYSER = insightface.app.FaceAnalysis(
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name="buffalo_l",
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root=".", providers=providers,allowed_modules=["landmark_3d_68", "landmark_2d_106","detection","recognition"]
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)
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FACE_ANALYSER.prepare(
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ctx_id=0,
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det_size=(640, 640),
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)
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----------------------------------------------------------------------------------------------------------------------------------------
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src_faces = FACE_ANALYSER.get(src_frame)
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target_faces = FACE_ANALYSER.get(target_frame)
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fig = plt.figure()
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ax1 = fig.add_subplot(1,2,1)
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rimg = FACE_ANALYSER.draw_on(src_frame,src_faces)
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ax1.imshow(cv2.cvtColor(rimg, cv2.COLOR_BGR2RGB))
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ax1 = fig.add_subplot(1,2,2)
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rimg = FACE_ANALYSER.draw_on(target_frame,target_faces)
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ax1.imshow(cv2.cvtColor(rimg, cv2.COLOR_BGR2RGB))
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plt.show()
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----------------------------------------------------------------------------------------------------------------------------------------
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model_swap_insightface = insightface.model_zoo.get_model(model, providers=providers)
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----------------------------------------------------------------------------------------------------
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img_fake = model_swap_insightface.get(img = target_frame, target_face=FACE_ANALYSER.get(target_frame)[0], source_face=src_faces[0], paste_back=True)
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-------------------------------------------------------------------------------------------------------------------------------------------------------
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plt.imshow(cv2.cvtColor(img_fake, cv2.COLOR_BGR2RGB))
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------------------------------------------------------------------------
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