face_recognition
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how to get accuration from the processing?
- face_recognition version:
- Python version: 3
- Operating System: windows
Description
i want to get a accuation from the face recognition processing but i cant find where the code for get a accuration in your examples
What I Did
@app.post("/face_recognition") async def recognize_faces(file: UploadFile = File(...)): # Save the uploaded file temporarily file_location = f"temp/{file.filename}" with open(file_location, "wb") as buffer: buffer.write(await file.read())
# Load the image file and find face locations and encodings
image = face_recognition.load_image_file(file_location)
face_locations = face_recognition.face_locations(image)
face_encodings = face_recognition.face_encodings(image, face_locations)
# Load saved encodings
encodings = []
for filename in os.listdir("encodings"):
if filename.endswith(".txt"):
with open(os.path.join("encodings", filename), "r") as f:
name = os.path.splitext(filename)[0]
lines = f.readlines()
encoding = [float(x) for x in lines[0].strip().split()]
encodings.append((name, encoding))
# Find matches
matches = []
for encoding in face_encodings:
for name, saved_encoding in encodings:
match = face_recognition.compare_faces([saved_encoding], encoding)
if match[0]:
matches.append(name)
os.remove(file_location)
return {"matches": matches,"face": "Recognize"}
# Remove the temporary file
os.remove(file_location)
return {"face": "NoRecognize"}
Hi, do you mean that you need the probability at which the face recognition model is recognizing the face? Because there is no such thing as accuracy while recognizing faces, It is the probability at which the model is recognizing the faces. Accuracy will be how many times it recognized faces correctly. Please clarify this, so that I can help furhter.
Thank You
if you want to get the number of similiarity between two images, you can using face_distance function