Comments (5)
Hi @hoangtnm
Thank you for your interest in 3DiVi Face SDK.
You can use your own detector to create a sample by doing the following:
- Create a Capturer object using
FacerecService.create_service
method and configuration filemanual_capturer_fda.xml
- Create a RawSample object by passing eye points to the
Capturer.manual_capture
method. - Use the RawSample object to evaluate the appearance of the mask.
Please let me know if this works for you.
from face-sdk.
I think capturer.manual_capture(raw_img)
could fix the problem. However,
in my case, I would like to try age_gender_estimator
given raw image, is it
possible?
def detect(img_path):
img = cv2.imread(img_path)
assert img is not None
raw_img = CVRawImage(img)
detected = capturer.manual_capture(raw_img)
print(f"On image detected {len(detected)} faces")
return detected
samples = detect(os.path.join(face_sdk_dir, "bin/set1", "01100.jpg"))
for i, sample in enumerate(samples):
age_gender_res = age_gender_estimator.estimate_age_gender(sample)
print(age_gender_res)
but it raises
TypeError Traceback (most recent call last)
Cell In [6], line 1
----> 1 samples = detect(os.path.join(face_sdk_dir, "bin/set1", "01100.jpg"))
2 for i, sample in enumerate(samples):
3 # raw_img = sample.cut_face_raw_image(Format.FORMAT_GRAY)
4 # img_crop = np.frombuffer(raw_img.data, dtype=np.uint8).reshape(
5 # [raw_img.height, raw_img.width]
6 # )
7 age_gender_res = age_gender_estimator.estimate_age_gender(sample)
Cell In [5], line 6, in detect(img_path)
4 raw_img = CVRawImage(img)
5 # detected = capturer.capture(raw_img)
----> 6 detected = capturer.manual_capture(raw_img)
7 print(f"On image detected {len(detected)} faces")
8 return detected
TypeError: manual_capture() missing 4 required positional arguments: 'left_eye_x', 'left_eye_y', 'right_eye_x', and 'right_eye_y'
from face-sdk.
Hi @hoangtnm
capturer.manual_capture(raw_img)
requires eyes position to create RawSample
object. Do you have eyes position in your detector output?
from face-sdk.
Hi @hoangtnm
capturer.manual_capture(raw_img)
requires eyes position to createRawSample
object. Do you have eyes position in your detector output?
Hi @leonid-leshukov, I don't have eye positions in your detector output. Actually, I only have face-bounding boxes from the detector. Therefore, I only want to create a RawSample
object from a numpy array.
from face-sdk.
Hi @hoangtnm
In such case, you can use fda_fake_detector_signleface.xml
. It uses a bounding box to find face landmarks and returns the RawSample object.
To use fda_fake_detector_signleface.xml
you should specify the relative position of the bounding box center and the relative size of the bounding box on the image. See example below
fda_fake_detector_signleface example
from face_sdk_3divi import FacerecService, Config
from face_sdk_3divi.modules.raw_image import Format
from face_sdk_3divi.example import CVRawImage
import os
import cv2
import numpy as np
def detect(img_path):
img = cv2.imread(img_path)
assert img is not None
raw_img = CVRawImage(img)
detected = capturer.capture(raw_img)
print(f'On image detected {len(detected)} faces')
return detected
face_sdk_dir = "../.."
service = FacerecService.create_service(
os.path.join(face_sdk_dir, "bin/facerec.dll"),
os.path.join(face_sdk_dir, "conf/facerec"))
print('Service created')
config = Config("fda_fake_detector_singleface.xml")
config.override_parameter("fake_rect_center_x0", 0.628)
config.override_parameter("fake_rect_center_y0", 0.354)
config.override_parameter("fake_rect_size0", 0.1)
capturer = service.create_capturer(config)
print('Capturer created')
samples = detect(os.path.join(face_sdk_dir, "bin/1/8.jpg"))
for i, sample in enumerate(samples):
raw_img = sample.cut_face_raw_image(Format.FORMAT_GRAY)
from face-sdk.
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from face-sdk.