udpate

.vscode/settings.json

@@ -56,5 +56,5 @@
         "temp/": true,
         "Temp/": true
     },
-    "dotnet.defaultSolution": "Interactive-DOOH.sln"
+    "dotnet.defaultSolution": "SinhNhat.sln"
 }

Assets/GadGame/Scenes/CTA.unity

@@ -807,7 +807,7 @@ RectTransform:
   m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0}
   m_AnchorMin: {x: 0.5, y: 0.5}
   m_AnchorMax: {x: 0.5, y: 0.5}
-  m_AnchoredPosition: {x: 0, y: -300}
+  m_AnchoredPosition: {x: 0, y: -350}
   m_SizeDelta: {x: 900, y: 200}
   m_Pivot: {x: 0.5, y: 0.5}
 --- !u!114 &523800084
@@ -865,7 +865,7 @@ MonoBehaviour:
   m_fontSizeMax: 72
   m_fontStyle: 1
   m_HorizontalAlignment: 2
-  m_VerticalAlignment: 512
+  m_VerticalAlignment: 256
   m_textAlignment: 65535
   m_characterSpacing: 0
   m_wordSpacing: 0

Assets/GadGame/Scenes/PassBy_coffee.unity

@@ -374,6 +374,7 @@ RectTransform:
   - {fileID: 39214309}
   - {fileID: 1701610192}
   - {fileID: 2075871718}
+  - {fileID: 1934445842}
   m_Father: {fileID: 1447100632}
   m_LocalEulerAnglesHint: {x: 0, y: 0, z: -46.3}
   m_AnchorMin: {x: 0.5, y: 0.5}
@@ -587,7 +588,7 @@ RectTransform:
   m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0}
   m_AnchorMin: {x: 0.5, y: 0.5}
   m_AnchorMax: {x: 0.5, y: 0.5}
-  m_AnchoredPosition: {x: 0, y: -300}
+  m_AnchoredPosition: {x: 0, y: -350}
   m_SizeDelta: {x: 900, y: 200}
   m_Pivot: {x: 0.5, y: 0.5}
 --- !u!114 &334911201
@@ -646,7 +647,7 @@ MonoBehaviour:
   m_fontSizeMax: 72
   m_fontStyle: 1
   m_HorizontalAlignment: 2
-  m_VerticalAlignment: 512
+  m_VerticalAlignment: 256
   m_textAlignment: 65535
   m_characterSpacing: 0
   m_wordSpacing: 0
@@ -2296,6 +2297,81 @@ CanvasRenderer:
   m_PrefabAsset: {fileID: 0}
   m_GameObject: {fileID: 1796482200}
   m_CullTransparentMesh: 1
+--- !u!1 &1934445841
+GameObject:
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+  m_CorrespondingSourceObject: {fileID: 0}
+  m_PrefabInstance: {fileID: 0}
+  m_PrefabAsset: {fileID: 0}
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+  m_Component:
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+  - component: {fileID: 1934445844}
+  - component: {fileID: 1934445843}
+  m_Layer: 5
+  m_Name: Effect
+  m_TagString: Untagged
+  m_Icon: {fileID: 0}
+  m_NavMeshLayer: 0
+  m_StaticEditorFlags: 0
+  m_IsActive: 0
+--- !u!224 &1934445842
+RectTransform:
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+  m_CorrespondingSourceObject: {fileID: 0}
+  m_PrefabInstance: {fileID: 0}
+  m_PrefabAsset: {fileID: 0}
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+  m_LocalPosition: {x: 0, y: 0, z: 0}
+  m_LocalScale: {x: 1, y: 1, z: 1}
+  m_ConstrainProportionsScale: 1
+  m_Children: []
+  m_Father: {fileID: 263418222}
+  m_LocalEulerAnglesHint: {x: 0, y: 0, z: 45}
+  m_AnchorMin: {x: 0.5, y: 0.5}
+  m_AnchorMax: {x: 0.5, y: 0.5}
+  m_AnchoredPosition: {x: -87, y: -6}
+  m_SizeDelta: {x: 700, y: 700}
+  m_Pivot: {x: 0.5, y: 0.5}
+--- !u!114 &1934445843
+MonoBehaviour:
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+  m_CorrespondingSourceObject: {fileID: 0}
+  m_PrefabInstance: {fileID: 0}
+  m_PrefabAsset: {fileID: 0}
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+  m_Script: {fileID: 11500000, guid: fe87c0e1cc204ed48ad3b37840f39efc, type: 3}
+  m_Name: 
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+  m_Color: {r: 1, g: 1, b: 1, a: 1}
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+  m_RaycastPadding: {x: 0, y: 0, z: 0, w: 0}
+  m_Maskable: 1
+  m_OnCullStateChanged:
+    m_PersistentCalls:
+      m_Calls: []
+  m_Sprite: {fileID: 21300000, guid: 6effafeec1f9b099cb24bd4a39fbd3ae, type: 3}
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+  m_PreserveAspect: 0
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+  m_FillAmount: 1
+  m_FillClockwise: 1
+  m_FillOrigin: 0
+  m_UseSpriteMesh: 0
+  m_PixelsPerUnitMultiplier: 1
+--- !u!222 &1934445844
+CanvasRenderer:
+  m_ObjectHideFlags: 0
+  m_CorrespondingSourceObject: {fileID: 0}
+  m_PrefabInstance: {fileID: 0}
+  m_PrefabAsset: {fileID: 0}
+  m_GameObject: {fileID: 1934445841}
+  m_CullTransparentMesh: 1
 --- !u!1 &1939570963
 GameObject:
   m_ObjectHideFlags: 0

Assets/GadGame/Scripts/Coffee/CoffeeController.cs

@@ -73,20 +73,22 @@ namespace GadGame.Scripts.Coffee
         {
             if(!_isLoading) return;
             _timer += Time.deltaTime;
-            if (_timer >= 3)
+            // if (_timer >= 3)
-            {
+            // {
-                _timer = 0;
+            //     _timer = 0;
-                _indexText++;
+            //     _indexText++;
-                if (_indexText > _loadingTexts.Length - 1)
+            //     if (_indexText > _loadingTexts.Length - 1)
-                {
+            //     {
-                    _indexText = 0;
+            //         _indexText = 0;
-                }
+            //     }
             //     _hintText.text = _loadingTexts[_indexText];
-            }
+            // }
 
-            if (UdpSocket.Instance.DataReceived.AgeMax != 0)
+            Debug.Log(_timer);
+
+            if(UdpSocket.Instance.DataReceived.Gender != null && _timer > 3)
             {
-                _notifyText.text = UdpSocket.Instance.DataReceived.Gender < 0.5 ? "Hmmm, để  xem kiếp trước bạn là ai nào, chàng trai" : "Hmmm, để  xem kiếp trước bạn là ai nào, cô gái";
+                _notifyText.text = UdpSocket.Instance.DataReceived.Gender == "Male" ? "Hmmm, để  xem kiếp trước bạn là ai nào, chàng trai" : "Hmmm, để  xem kiếp trước bạn là ai nào, cô gái";
             } else {
                 _notifyText.text = "Khuấy đều tay, kiếp trước của bạn sẽ hiện ra, chờ một chút nhé";
             }

Assets/GadGame/Scripts/Network/ReceiverData.cs

@@ -16,7 +16,7 @@ namespace GadGame.Network
         public bool OnVision;
         public bool Engage;
         public bool Ready;
-        public float Gender;
+        public string Gender;
         public int AgeMin;
         public int AgeMax;
         // public Vector2[] PosPoints;

Assets/GadGame/Scripts/QRShow.cs

@@ -49,7 +49,7 @@ public class QRShow : MonoBehaviour
         _voucherAnimator.SetBool("FadeOut", true);
         _qrAnimator.SetBool("ZoomIn", true);
         _notifyAnimator.SetBool("FadeIn", true);
-        _notifyAnimator.SetBool("Male", UdpSocket.Instance.DataReceived.Gender < 0.5 ? true : false);
+        _notifyAnimator.SetBool("Male", UdpSocket.Instance.DataReceived.Gender == "Male" ? true : false);
     }
 
     private void WarningTimerAnimation()

Assets/GadGame/Scripts/State/MainFlowState/CTAState.cs

@@ -23,7 +23,7 @@ namespace GadGame.State.MainFlowState
         public override void Update(float time)
         {
             Runner.EncodeImage.Raise(UdpSocket.Instance.DataReceived.StreamingData);
-            if(_scanSuccess || time >= 60) 
+            if(_scanSuccess || time >= 30)
             {
                 Runner.SetState<IdleState>();
                 UdpSocket.Instance.SendDataToPython("End");

Assets/GadGame/Scripts/State/MainFlowState/PlayGameState.cs

@@ -13,7 +13,7 @@ namespace GadGame.State.MainFlowState
         
         public override async void Enter()
         {
-            if(UdpSocket.Instance.DataReceived.Gender < 0.5f)
+            if(UdpSocket.Instance.DataReceived.Gender == "Male")
             {
                 await LoadSceneManager.Instance.LoadSceneWithTransitionAsync(Runner.SceneFlowConfig.GameMaleScene.ScenePath);
             } else 

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Assets/StreamingAssets/MergeFace/Gender_Prediction.meta

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Assets/StreamingAssets/MergeFace/Gender_Prediction/GenderPredictionModule.py

@@ -0,0 +1,30 @@
+from keras.models import load_model
+import numpy as np
+import cv2
+
+
+class GenderPrediction:
+    def __init__(self):
+        self.model = load_model("gender_v1.0.h5")
+
+    def predict_gender(self, image):
+
+        # chuyển ảnh về mức xám
+        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+        # resize ảnh phủ hợp với model
+        target_size = (48, 48)
+        resized_face = cv2.resize(gray, target_size)
+
+        # normalize ảnh
+        normalize_face = resized_face / 255.0
+
+        # chuyển về cùng shape với input tensror (1,48,48)
+        normalize_face = np.expand_dims(normalize_face, axis=0)
+
+        # model output 'probabilities': array([[0.019824,0.98018]], dtype=float32)
+        predictions = self.model.predict(normalize_face)
+        threshold = 0.5
+        predicted_class = 'Male' if predictions[0][1] >= threshold else 'Female'
+
+        return predicted_class

Assets/StreamingAssets/MergeFace/Gender_Prediction/GenderPredictionModule.py.meta

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Assets/StreamingAssets/MergeFace/Gender_Prediction/__init__.py

@@ -0,0 +1 @@
+from .GenderPredictionModule import GenderPrediction

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Assets/StreamingAssets/MergeFace/Gender_Prediction/__pycache__.meta

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Assets/StreamingAssets/MergeFace/backup_FD.py

@@ -46,9 +46,9 @@ class FaceDetection:
 
                     # Check if distances exceed threshold
                     if not (distance_left > K_MULTIPLIER * distance_right or distance_right > K_MULTIPLIER * distance_left or
-                            self.calculate_dis_to_cp(cx, cy, face_cx, face_cy) > 50):
+                            self.calculate_dis_to_cp(cx, cy, face_cx, face_cy) > 65):
                         return True, True, [x1 - 20, y1 - 20, x2 + 20, y2 + 20]
 
                 return True, False, []
 
-        return False, False
+        return False, False, []

Assets/StreamingAssets/MergeFace/demo.py

@@ -28,6 +28,11 @@ class MainProgram:
             per_class=False
         )
 
+        self.face_detect = FaceAnalysis(name='buffalo_l')
+        self.face_detect.prepare(ctx_id=0, det_size=(640, 640))
+
+        self.swapper = insightface.model_zoo.get_model("inswapper_128.onnx")
+
         self.send_data_unity: dict = {
             "PassBy": False,
             "Engage": False,
@@ -71,7 +76,9 @@ class MainProgram:
 
         self.forward_face = FaceDetection()
 
-        self.face_swap = Face_Swap.FaceSwap()
+        # self.face_swap = Face_Swap.FaceSwap()
+
+        self.gender_model = Gender_Prediction.GenderPrediction()
 
         self.focus_face_bbox = []
 
@@ -91,72 +98,56 @@ class MainProgram:
 
         return image_url, des
 
-    def generate_image(self):
+    def face_swap(self, image, source_face, paste_back=True):
-        image_url, des = self.get_image()
+        """
+            Args:
+                image : original content image
+                target: face in the original image [{....}] need embedding
+                source_face: face of the user [{....}] need embedding
+            Return:
+                image with swapped face
+        """
+        target = self.face_detect.get(image)[0]
+        source_face = self.face_detect.get(source_face)[0]
+
+        res = image.copy()
+        res = self.swapper.get(res, target, source_face, paste_back)
+        return res
+
+    def generate_local_image(self, source_face):
+        # image_url, des = self.get_image()
+
+        # Path to the folder containing images
+        folder_path = "./origin_image/"
+
+        # Get a list of all files in the folder
+        files = os.listdir(folder_path)
+
+        # Filter out only image files (assuming common image formats)
+        image_files = [f for f in files if f.endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif'))]
+
+        # Check if there are any image files in the folder
+        if image_files:
+            # Select a random image file
+            random_image_file = random.choice(image_files)
+
+            # Read the image using OpenCV
+            image_path = os.path.join(folder_path, random_image_file)
+            image = cv2.imread(image_path)
+
+        origin_image = image.copy()
         image_path = "./image/merge_face.png"
 
-        res = self.client.merge_face(
+        result = self.face_swap(origin_image, source_face)
-            image=image_url,
-            face_image="./image/output.jpg",
-        )
 
-        base64_to_image(res.image_file).save(image_path)
+        cv2.imwrite(image_path, result)
-
-        # Get the current time
-        current_time = datetime.now()
-
-        # Format the current time
-        formatted_time = current_time.strftime("%d_%m_%Y_%H_%M_%S")
-
-        self.des_file = f"sid/{formatted_time}.jpg"
-
-        self.send_data_unity["FileName"] = f"{formatted_time}.jpg"
-
-        self.client_minio.fput_object(
-            self.bucket_name, self.des_file, image_path,
-        )
-
-        self.send_data_unity["Description"] = des
-        self.send_data_unity["GenerateImageSuccess"] = True
-        self.send_data_unity["StreamingData"] = "./Assets/StreamingAssets/MergeFace/image/merge_face.png"
-
-    def generate_with_rapapi(self):
-        image_url, des = self.get_image()
-        image_path = self.face_swap.save_image_result(image_url)
-
-        # Get the current time
-        current_time = datetime.now()
-
-        # Format the current time
-        formatted_time = current_time.strftime("%d_%m_%Y_%H_%M_%S")
-
-        self.des_file = f"sid/{formatted_time}.jpg"
-
-        self.send_data_unity["FileName"] = f"{formatted_time}.jpg"
-
-        self.client_minio.fput_object(
-            self.bucket_name, self.des_file, image_path,
-        )
-
-        self.send_data_unity["Description"] = des
-        self.send_data_unity["GenerateImageSuccess"] = True
-        self.send_data_unity["StreamingData"] = "./Assets/StreamingAssets/MergeFace/image/merge_face.jpg"
 
     def predict_age_and_gender(self):
         image_predict = cv2.imread("./image/output.jpg")
 
-        if AgeGenderPrediction.Prediction(image_predict):
+        gender = self.gender_model.predict_gender(image_predict)
 
-            self.send_data_unity["Gender"] = AgeGenderPrediction.Prediction(image_predict)[0]
+        self.send_data_unity["Gender"] = gender
-            self.send_data_unity["AgeMin"] = int(
-                AgeGenderPrediction.Prediction(image_predict)[1].split("-")[0])
-            self.send_data_unity["AgeMax"] = int(
-                AgeGenderPrediction.Prediction(image_predict)[1].split("-")[1])
-
-        else:
-            self.send_data_unity["Gender"] = None
-            self.send_data_unity["AgeMin"] = None
-            self.send_data_unity["AgeMax"] = None
 
     def get_face_bbox(self, frame):
         outs = self.face_model(frame)
@@ -189,7 +180,7 @@ class MainProgram:
             self.send_data_unity["GenerateImageSuccess"] = False
             self.send_data_unity["Description"] = ""
 
-        if self.ready_success:
+        if self.ready_success and (not self.check_save):
             # Perform person detection
             self.send_data_unity["PassBy"], _, _ = self.check_ready(frame)
             self.send_data_unity["Engage"] = self.send_data_unity["PassBy"]
@@ -198,7 +189,7 @@ class MainProgram:
             self.send_data_unity["PassBy"], self.send_data_unity["Ready"], self.focus_face_bbox = self.check_ready(frame)
             self.send_data_unity["Engage"] = self.send_data_unity["PassBy"]
 
-        elif not self.check_save:
+        elif not self.check_save and self.focus_face_bbox:
             cv2.imwrite("./image/output.jpg", self.cropped_image(frame, self.focus_face_bbox[0],
                                                                  self.focus_face_bbox[1],
                                                                  self.focus_face_bbox[2],
@@ -215,7 +206,8 @@ class MainProgram:
                 self.predict_age_and_gender()
 
             else:
-                self.generate_image()
+                source_face = cv2.imread("./image/output.jpg")
+                self.generate_local_image(source_face)
                 self.check_generate = True
 
         elif self.show_success:
@@ -252,7 +244,7 @@ class MainProgram:
             frame_to_handle = frame.copy()
             self.frame_to_show = frame.copy()
 
-            self.person_process(frame_to_handle)
+            # self.person_process(frame_to_handle)
 
             try:
                 self.person_process(frame_to_handle)

Assets/StreamingAssets/MergeFace/downloaded_image.jpg.meta

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+guid: d5328b40e18798d11a00149db880fc88
+DefaultImporter:
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+  userData: 
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Assets/StreamingAssets/MergeFace/gender_v1.0.h5.meta

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+guid: 75da87cba91cd9b3292f44321a11316d
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Assets/StreamingAssets/MergeFace/inswapper_128.onnx.meta

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Assets/StreamingAssets/MergeFace/lib.py

@@ -41,3 +41,15 @@ from minio.error import S3Error
 from datetime import datetime
 
 import Face_Swap
+
+import Gender_Prediction
+
+import glob
+import matplotlib.pyplot as plt
+import time
+
+import insightface
+from insightface.app import FaceAnalysis
+from insightface.data import get_image as ins_get_image
+
+import requests

Assets/StreamingAssets/MergeFace/origin_image.meta

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+folderAsset: yes
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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08734.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08737.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08805.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08816.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08823.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/Bản sao của DSC08834.JPG.meta

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Assets/StreamingAssets/MergeFace/origin_image/DSC08781.JPG.meta

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Assets/StreamingAssets/MergeFace/test.py

@@ -1,66 +1,20 @@
 import requests
-import base64
+import os
 
+image_url = "https://i.ibb.co/8Xw8Yhs/4c91e57ac0340d5eaf137cfc48ecb8bc-1557153402.jpg"
 
-def download_image_from_url(url, output_file_path):
+file_name = "downloaded_image.jpg"
-    """
-    Downloads an image from a URL and saves it to a local file.
 
-    :param url: The URL of the image to download.
+# Check if the file already exists
-    :param output_file_path: The path where the downloaded image will be saved.
+if not os.path.exists(file_name):
-    """
-    try:
     # Send a GET request to the URL
-        image_response = requests.get(url)
+    response = requests.get(image_url)
 
-        # Check if the request was successful
+    # Open a local file with write-binary mode
-        if response.status_code == 200:
+    with open(file_name, "wb") as file:
-            # Save the image data to a file
+        # Write the contents of the response to the file
-            with open(output_file_path, "wb") as image_file:
+        file.write(response.content)
-                image_file.write(image_response.content)
+
-            print(f"Image saved as {output_file_path}")
+    print(f"Image downloaded and saved as {file_name}")
 else:
-            print(f"Failed to download image. HTTP status code: {image_response.status_code}")
+    print(f"{file_name} already exists.")
-
-    except Exception as e:
-        print(f"An error occurred: {e}")
-
-
-swap_url = "https://faceswap3.p.rapidapi.com/faceswap/v1/image"
-
-payload = ("-----011000010111000001101001\r\nContent-Disposition: form-data; "
-		   "name=\"target_url\"\r\n\r\nhttps://i.ibb.co/kh2XYLh/vnpdtvnvsu22vn-27122020-x-108-jpg.jpg\r\n"
-		   "-----011000010111000001101001\r\nContent-Disposition: form-data; "
-		   "name=\"swap_url\"\r\n\r\nhttps://storage.gadgame.com/play4promo/sid/final_image.jpg\r\n"
-		   "-----011000010111000001101001--\r\n\r\n")
-
-headers = {
-	"x-rapidapi-key": "34c3c2de43msh9d754fc788c3d36p15c896jsn8796ea559bce",
-	"x-rapidapi-host": "faceswap3.p.rapidapi.com",
-	"Content-Type": "multipart/form-data; boundary=---011000010111000001101001"
-}
-
-response = requests.post(swap_url, data=payload, headers=headers)
-
-result = response.json()
-
-request_id = result["image_process_response"]["request_id"]
-
-result_url = "https://faceswap3.p.rapidapi.com/result/"
-
-payload = ("-----011000010111000001101001\r\nContent-Disposition: form-data; "
-		   f"name=\"request_id\"\r\n\r\n{request_id}\r\n-----011000010111000001101001--\r\n\r\n")
-
-headers = {
-	"x-rapidapi-key": "34c3c2de43msh9d754fc788c3d36p15c896jsn8796ea559bce",
-	"x-rapidapi-host": "faceswap3.p.rapidapi.com",
-	"Content-Type": "multipart/form-data; boundary=---011000010111000001101001"
-}
-
-response = requests.post(result_url, data=payload, headers=headers)
-
-url_image = response.json()["image_process_response"]["result_url"]
-
-print(url_image)
-
-download_image_from_url(url_image, "rapapi.jpg")