Dlib crop face example. And today we will learn how to make a face detection.

Dlib crop face example. Simply swap the models.

Dlib crop face example With that, you should be able to deploy to Apr 3, 2017 · Now that our imports and command line arguments are taken care of, let’s initialize dlib’s face detector and facial landmark predictor: # initialize dlib's face detector (HOG-based) and then create # the facial landmark predictor detector = dlib. Make sure you have MSYS2 installed. Windows. bottom() + size_array[0]) cropped_image = image_to_crop. cs”. opencv. However, it makes the algorithm much slower because it will have to search in a larger image. This will allow me to obtain the crop face and send to Tensorflow Lite interpreter version 0. jpg You need to crop faces the same way the dlib code does it or the face recognition model, the thing that takes in the crop and outputs the 128D vector you mentioned, will not work right. 17 # 18 # Finally, for an in-depth discussion of how dlib's tool works you should 19 # refer to the C++ example program dnn_face_recognition_ex. This example is essentially just a version of the face_landmark_detection_ex. Simply swap the models. The idea is that, if you need to make a dataset with someone's face cropped out properly, it can be very long to do it by hand. However, the cropped images are blue in colour. Below is the code to detect faces using dlib face detector and save mouth from faces with a . cv2. # 300 faces In-the-wild challenge: Database and Aug 11, 2019 · Google photo Introduction. Also, the model has an accuracy of 99. The detect_and_crop_head function takes an input image file, detects the face using a pre-trained 5-point facial landmarks model, and crops the image to include the entire head with a 1:1 aspect ratio. The following code snippet demonstrates how to implement the Dlib face detector in Python:. jpg') gray = cv2. Here is the scripts; import cv2 import dlib img_path = 'landmarks. Apr 29, 2017 · I don't see any problem to implement that. So you can use it for anything you want. # You can run this program and see the detections from your webcam by shape_predictor_5_face_landmarks. Then, input the corresponding paths, if choose V or I, you can leave the other path blank or simple input "XXX". The goal is to automate this action. From there, you can use the following command to visualize the results: $ python detect_face_parts. Jan 30, 2025 · import dlib # Load the face recognition model detector = dlib. dat') Make sure to download dlib_face_recognition_resnet_model_v1. GetFrontalFaceDetector()) { var img = Dlib. face_tracking_info. We will use a pre-trained Haar Cascade model to detect faces from the image. This utility takes all of the images in a Jun 17, 2016 · Face landmark detection has two steps: face detection and face landmark detection on this face. top() - size_array[0], face_rect. MatOfRect; import org. Why dlib facial landmark detector throws RuntimeError? 4. Mat; import org. crop_area = (face_rect. C++ Example Programs: max_cost_assignment_ex. May 14, 2024 · Facial landmark points using dlib. Dlib-ml: A Machine Learning Toolkit. Apr 3, 2017 · # USAGE # python facial_landmarks. Apr 10, 2017 · Be sure to use the “Downloads” section of this guide to download the source code + example images + dlib facial landmark predictor model. # It is also meant to demonstrate that rgb images from Dlib can be used with opencv by just # swapping the Red and Blue channels. # This example program shows how to find frontal human faces in a webcam stream using OpenCV. For faster face tracking, you can run face detections continuously in one thread, and then in another thread, track the detected face(s) and perform face feature detections using the tracked rectangles. In a nutshell, a face recognition system extracts features from an input face image and compares them to the features of labeled faces in a database. Below, we explore the primary methods available in Dlib, including their mechanisms, advantages, and use cases. static void Main(string[] args) { // set up Dlib facedetector using (var fd = Dlib. process(image_input) detection=results. Jan 14, 2025 · In the realm of face detection, both Dlib and OpenCV offer robust solutions, each with its unique strengths and weaknesses. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. This allows for more refined cropping that can include adjustments based on facial features. Dlib has two pre-trained facial landmark detector , and we can use it to estimate the location of (68 or 5) (x, y)-coordinates that map to facial structures on the face. py: Tracks a face in real-time using dlib's correlation tracker and a webcam. Dlib 是一个现代C++工具包，包含机器学习算法和工具，用于使用C++创建复杂的软件来解决现实问题 Aug 26, 2020 · from imutils. My current code can detect and crop face. You signed in with another tab or window. imread('images\\1. Run MSYS2 MSYS shell from Start menu; Run pacman -Syu and if it asks you to close the shell do that; Run pacman -Syu again; Run pacman -S mingw-w64-x86_64-gcc mingw-w64-x86_64-dlib 5. Jul 12, 2019 · Well, for 'blurring' I do use OpenCV. shape_predictor I created this dataset by downloading images from the internet and annotating them with dlib's imglab tool. Detect face points using Dlib and OpenCV To analyze the faces in a digital image, the computer uses 68 points as a reference. The library utilizes a pre-trained model that can detect 68 facial landmarks, which can then be extended to 3D by applying a perspective transformation based on the detected 2D Feb 4, 2010 · I detected the face in the image using opencv 2. 0. 38% on the standard Labeled Faces in the Wild benchmark. But before this I need to find faces in video. You guess, yes Dlib and his Face Landmark points. right() + size_array[0], face_rect. Face recognition framework. Here’s an example: Jan 3, 2023 · Opencv is a python library mainly used for image processing and computer vision. It also produces high quality detectors from relatively small amounts of training data. King. See LICENSE_FOR_EXAMPLE_PROGRAMS. 38% accuracy on the standard LFW face recognition benchmark, which is comparable to other state-of-the-art methods for face recognition as of February 2017. . Feb 7, 2018 · Face recognition identifies persons on face images or video frames. For this purpose, there is a pre-built model Dlib which can detect all the 68 points in the face. @davisking created this dataset by downloading images from the internet and annotating them with dlib's cd Face-Detection-And-Auto-Crop python3 -m venv . Here’s a simple example of how to use Dlib for facial landmark detection in Python: import dlib import cv2 # Load the pre-trained model predictor_path = 'shape_predictor_68_face_landmarks. Face alignment with dlib. get_frontal_face_detector() # Read an image Utils for face extraction from image using (dlib/mediapipe) - eoastafurov/Smart-Face-Crop Jul 7, 2018 · Note that dlib also contains a machine learning method for learning the cost function needed to use the Hungarian algorithm. Let’s see how dlib’s MMOD CNN face detector stacks up to the HOG + Linear SVM face detector. Face Alignment This is a demo of detecting and aligning faces in an image. py: Sep 7, 2020 · I've been working on a project to get the forehead area from a live streaming video and not just use and image and crop the forehead like from this example How can i detect the forehead region using [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer - sczhou/CodeFormer May 22, 2017 · In the next block of code we initialize our HOG-based detector (Histogram of Oriented Gradients), our facial landmark predictor, and our face aligner: # initialize dlib's face detector (HOG-based) and then create # the facial landmark predictor and the face aligner detector = dlib. jpg Jun 26, 2018 · After get 5 face landmarks then use it to do face alignment. Oct 26, 2016 · I am using D-lib to extract certain areas of a face. pyplot as plt def detect_faces(image): # Create a face detector face_detector = dlib. However, the cropped image is too tight as shown in the below output image. And for this I use dlib, because cascades detects worse than dlib's net. cpp in 使用OpenCV、dlib套件進行人臉辨識，也使用dlib官方網站開源檔案進行臉部特徵及繪製出輪廓。(1) 5點特徵人臉影像辨識。(2) CNN訓練模型人臉辨識。(3) 68點特徵人臉偵測。(4) 攝影機圖像中劃出點輪廓。(5) 攝影機臉部偵測。(6) 辨識不同的臉。 - LonelyCaesar/dlib-face Dec 21, 2024 · To implement face detection using dlib in Python, you can utilize the dlib. the following code is used to detect a face in an image and save the cropped part. I don’t use the version that comes with the example. I am using opencv to crop the areas detected using dlib landmarking points detector. Feb 4, 2019 · how to save/crop detected faces in dlib python. imread('image. If you add a face that can not be automatically detected with a face detector like a panda or an animated face, you need to manually add landmark point data. get_frontal_face_detector() predictor = dlib. dat \ --image images/example_01. Taguchi models Sep 6, 2016 · I want to do these on the opencv and dlib using c++ on ubuntu. 4. Feb 27, 2024 · Dlib’s facial landmark detector is not only capable of detecting faces but also identifying key landmark points on faces. shape_predictor(). get_frontal_face_detector() from dlib library. The newest version: video2img_crop. dat from the official Dlib model repository. face_recognition_model_v1('dlib_face_recognition_resnet_model_v1. Facial landmark points on image; Download shape_predictor_68_face_landmarks. Hello, dear readers! Today, I’d like to share a method of a precise face alignment in python using opencv and dlib. batch_face_locations: BatchFaceLocations: compare_faces: CompareFaces: face_distance: FaceDistance: face_encodings: FaceEncodings: face_landmarks: FaceLandmarks: And support Helen dataset ⚠️: face_locations: FaceLocations: And support to get confidence and use custom face detector: load_image_file: LoadImageFile-CropFaces: Crop image with I am using Dlib's frontal face detector to detect faces in an images; however, it cannot detect faces smaller than 80 by 80 pixels. The goal was to remove the background from a sequence of images and rebuild a face by photogrammetry with the output files. Is there a way to convert the opencv coordinates to dlib's? Jun 29, 2018 · Why not use dlib face detector for detecting faces?. Finally, we’ll look at some results of applying facial landmark detection to images. This model has a 99. " Could it be because I'm running in MS Visual Studio 2012 with arguments passed into the debugger? Even when I ran the face detector example, it took a solid 30-45 minutes for training--a lot more than 10 seconds. it is base on dlib Apr 19, 2021 · Dlib’s CNN face detector results. detections[0] Oct 14, 2019 · New Deep Learning base methods has better accuracy in all face parts. Aug 9, 2024 · This accuracy means that, when presented with a pair of face 15 # images, the tool will correctly identify if the pair belongs to the same 16 # person or is from different people 99. But detection of face landmark points is fast and it really takes only few milliseconds. returns a structure containing the Ltrans and Rtrans transformation matrices as well as the estimated correlations between elements of the transformed vectors. cpp example modified to use dlib's demuxer object to read from a camera instead of files. cpp upsamples the input image using pyramid_up() to increase the face sizes. dat' face_detector = dlib. This function is based on a Histogram of Oriented Gradients (HOG) feature combined with a linear classi Detect faces in the image and crop the faces / 使用 Dlib 进行人脸检测然后将人脸裁剪下来 - coneypo/Dlib_face_cut #!/usr/bin/python # The contents of this file are in the public domain. dat' and model details, please refer to the project's GitHub page "Taguchi dlibModels GitHub Repository". Jul 22, 2020 · I choose to start with ML-kit example and use the face detector example. Apr 19, 2022 · For example, here is the output of dlib's 68-face-landmark shape_predictor on an image from the HELEN dataset: To create useful instantiations of this object you need to use the shape_predictor_trainer object to train a shape_predictor using a set of training images, each annotated with shapes you want to predict. I have the following code from Detect Faces With C# And Dlib In Only 40 Lines Of Code:. py. results = mp_face. To get an even better idea of how well this pose estimator works take a look at this video where it has been applied to each frame: A method can detect Faces in images and crop them which is useful for Face Datasets Processing. dat. This is a pre-trained detector based on Histogram of Oriented Gradients (HOG) features, and a linear classifier in a sliding window detection approach. ArgumentParser You selected only a subset of the 81 landmarks dlib identifies on a face, and discarded the landmarks associated with the mouth, chin and the outer contour of the face. Oct 14, 2019 · New Deep Learning base methods has better accuracy in all face parts. Dlib's example in face_detection_ex. face_utils import rect_to_bb import argparse import imutils import dlib import cv2 detector = dlib. crop(crop_area) crop_size = (crop_width, crop_width) Jun 28, 2018 · It‘s a landmark’s facial detector with pre-trained models, the dlib is used to estimate the location of 68 coordinates (x, y) that map the facial points on a person’s face like image below. #include " Mar 29, 2017 · To add a new face, you need to add the face information you want to add to “Assets \ FaceMaskExample \ Scripts \ Data \ ExampleDataSet. Precise face-alignment with opencv and dlib, using some geometry magic. import org. Oct 11, 2016 · You simply label things in images and it learns to detect them. This model is designed to work well with dlib's HOG face detector and the CNN face detector (the one in mmod_human_face_detector. Dlib pre-trained facial landmark detectors are : shape_predictor_5_face_landmarks. dat). To make things easier, there's an example Dockerfile in this repo that shows how to run an app built with face_recognition in a Docker container. Since face_recognition depends on dlib which is written in C++, it can be tricky to deploy an app using it to a cloud hosting provider like Heroku or AWS. num_threads : The number of threads to use for image processing. bz2 Download; This is a 5 point landmarking model which identifies the corners of the eyes and bottom of the nose. Face Detectors based on Haar Cascade, HoG, and Deep Learning in Dlib. dat'. Dlib uses pretrained masked face detection net to locate the faces, and we tried to use the dlib detected and cropped face image as input of Jul 21, 2016 · If you fail to detect a face one frame then revert to detecting the entire region the next one. venv/bin/activate pip install -r requirements. cvtColor(image, cv2. – The usage of this model is the same as 'dlib_face_recognition_resnet_model_v1. The exact program that produced the model file can be found here. dlib has quite useful implementations for computer vision, including: Facial landmark detection Correlation tracking Deep metric learning from those, we'll use Facial landmark detection feature to detect and crop Hi, It is said that When training the identity, video dataset using dlib to crop the face to 256x256, as i can see from the example image, size is not exactly 256x256. shape_predictor(args["shape_predictor"]) Face Detection and Feature Extraction Using dlib in Python (with Real-Time Webcam Integration) Introduction. # The face detector we use is made using the classic Histogram of Oriented # C. Feb 12, 2017 · Just like all the other example dlib models, the pretrained model used by this example program is in the public domain. This is because it's trained on that kind of cropping. Core; import org. The GPU Models Dlib. 2. In this article first, we detect faces after that we crop the face from the image. Dec 10, 2018 · I'm using the the mmod_faces_detection example and I'm trying to get the faces rectangles coordinates with no luck, here is what I'm doing: std::vector<rectangle>; getFacesVec(matrix&lt;rgb_p Face recognition framework. COLOR Jan 22, 2021 · I have developed a script using dlib and cv2 to draw facial landmarks on images having one face in that image. import dlib from PIL import Image from skimage import io import matplotlib. txt Apr 1, 2015 · The documentation mentions training a face detector on the provided set of faces in "on the order of 10 seconds. Zafeiriou, M. You might be want to: 1) find faces onto different images; 2) crop and align them; 3) run each crop through face descriptors extractor - obtain feature vectors; Nov 24, 2019 · I recently followed the walkthrough described in this link: Cropping face using dlib facial landmarks. It is trained on the dlib 5-point face landmark dataset, which consists of 7198 faces. get_frontal_face_detector(). core. Detect faces in the image and crop the faces / 使用 Dlib 进行人脸检测然后将人脸裁剪下来 - coneypo/Dlib_face_cut Jun 10, 2020 · To detect the face in our image we need to call a frontal face detector dlib. I got detections from several cameras and the code prints out bounding box coordinates for both opencv and dlib. This method use image-pyramid to make downsampling higher quality and 5 points (but different than SphereFace). For comparison results between 'dlib_face_recognition_resnet_model_v1. face_tracking_dlib. venv source . py Jan 28, 2025 · Face detection is a critical component of facial recognition systems, and Dlib offers several robust techniques for this purpose. The next sample is the rotation of the face (rx, ry, rz). py given in the python examples folder of dlib. Jan 29, 2025 · Code Example. Compute a canonical alignment by estimating a geometric transformation (for example, an affine transform) of the face to be aligned using the landmarks. I just modified the dlib face landmarks. And today we will learn how to make a face detection Apr 3, 2017 · From there, I’ll demonstrate how to detect and extract facial landmarks using dlib, OpenCV, and Python. 68 points is enough for this task. Detect the human face using dlib. 10 in java I put my face detection code. Face detection is the branch of image processing that uses to detect faces. Input image: Below is my code: # Draw a box around the face. Contribute to skaws2003/Dlib-lip-detection development by creating an account on GitHub. left() - size_array[0] , face_rect. I adapted the to the Jetson Nano. And today we will learn how to make a face detection system with… A toolkit for making real world machine learning and data analysis applications in C++ - davisking/dlib Oct 12, 2017 · I am trying to crop a face using the facial landmarks identified by dlib. get_frontal_face_detector() # Run detector and get bounding boxes of the faces on image. dat from this website and save this file in your project directory and copy its path the dlib web site. Something else will not work as well. 2020-06-30 Sep 1, 2024 · Figure 2: Example face detections using dlib‘s HOG detector. LoadImage<RgbPixel>(inputFilePath); // find all faces in the image var faces = fd. This Websites photograph is good for understand what is facial landmarks: points on the face such as the corners of the mouth, along the eyebrows, on the eyes, and so forth. Developed by Davis King, dlib is a python package for various image processing tasks. cpp Python Example Programs: max_cost_assignment. dat') fa = FaceAligner(predictor, desiredFaceWidth=256) image = cv2. Instructions: First, choose mode: V for video to image; I for face detection and crop; B for both. What are facial landmarks? Figure 1: Facial landmarks are used to label and identify key facial attributes in an image (source). Finally, note that the face detection: high performance MTCNN (CUDA/TensorRT/C++). References: Davis E. Displays the video feed with tracking rectangles and FPS information. The right eyebrow is causing problems - the crop goes flat across rather than follow the eyebrow arc. First of all, the code I will further consider was Another available option is dlib, which is based on machine learning approaches. dat' and 'taguchi_face_recognition_resnet_model_v1. This Websites photograph is good for understand what is facial landmarks: If you are using cmake to compile this program you can enable them by using one of the following commands when you create the build project: cmake path_to_dlib_root/examples -DUSE_SSE2_INSTRUCTIONS=ON cmake path_to_dlib_root/examples -DUSE_SSE4_INSTRUCTIONS=ON cmake path_to_dlib_root/examples -DUSE_AVX_INSTRUCTIONS=ON This will set the Dec 5, 2024 · Here’s a simple example of using Dlib for face detection: import dlib import cv2 # Load the detector detector = dlib. So, what is the easiest way do extract eyes with deep learning base approach. html and face_landmark_detection_ex. Oct 22, 2018 · Empirical comparison of Face Detectors in OpenCV, Dlib face detection & Deep Learning. These points are identified from the pre-trained model where the iBUG300-W dataset was used. Face alignment can be thought of as an image processing task consisting of the following steps: Identify the facial landmarks (or the facial geometric structure). In this section, we delve into advanced techniques utilizing Dlib and OpenCV for effective face detection in video streams. bz2; This model is designed to work well with dlib's HOG face detector. py, but includes additional on-screen information about tracking status. ) crop the image of only around mouth part. 3 Dec 28, 2017 · Crop: method taken from Facenet by David Sandberg, it just crop image with padding; Dlib: using dlib method for Face-Aligment (get_face_chips) with 112 image size and 25% of padding (default value). This tutorial will guide you through using dlib for face detection and feature extraction in Python. In ML-kit example, there are normal camera and cameraX activities. OpenCV and dlib Face detection. 0 which is compatible to our models. recognition: dlib_face A toolkit for making real world machine learning and data analysis applications in C++ - Sundrops/dlib_mingw_5. Dlib is a C++-implementation with a Python wrapper that Aug 28, 2014 · In fact, this is the output of dlib's new face landmarking example program on one of the images from the HELEN dataset. // Also, the dnn_metric_learning_on_images_ex Jun 9, 2024 · YuNet uses a fixed input size of 300x300, so the time difference results from resizing the images to these dimensions. Dlib offers a robust face detection model that utilizes a Histogram of Oriented Gradients (HOG) combined with a linear classifier. cpp Unofficial Rust wrappers to the C++ library dlib, face recognition tools - ulagbulag/dlib-face-recognition Detect faces in the image and crop the faces / 使用 Dlib 进行人脸检测然后将人脸裁剪下来 - coneypo/Dlib_face_cut I ran a live stream face detection code using opencv's pretrained dnn model & dlib's hog model. Operator(img); foreach (var face in faces) { // draw a Jan 5, 2025 · Dlib Face Detector. rectangle(img, (left, top), (right, bottom), (0, 0, 255), 2) crop_img = img_rgb[top:bottom, left:right] Jan 24, 2024 · This Python script utilizes the dlib library for face detection and facial landmarks to detect and crop a human head in an image. You signed out in another tab or window. Mar 27, 2016 · @Gondil and DavisKing Yes Dlib's face detector is much slower than OpenCV's face detector. Jan 29, 2025 · Understanding Dlib's 3D Face Landmark Detection. Note the [0] to indicate that we are only interested in single face. Sep 23, 2022 · Face detection or facial detection is an AI based computer technology used to find and identify human faces within digital images. Results # points on the face such as the corners of the mouth, along the eyebrows, on # the eyes, and so forth. Nov 14, 2023 · two face detection key points, the nose and the mouth, MTCNN are often unable to detect faces from the image, while dlib’s face detector are able to work sometimes, but the cropping results are very bad. FaceCHOP has a toggle for using face landmark detection, so if you only care about getting the rectangular box of a face, leave it unchecked. This method is efficient and provides good accuracy for frontal face detection. png' detector = dlib. dat --image images/example_01. mp4. And the most CPU-consuming part is first step - detect face (running simple_object_detector), and only this part has any profit from usage AVX/SSE Dec 16, 2019 · The next sample is the translation of the face (tx, ty, tz). net/face_alignment. Dlib's 3D face landmark detection is based on a combination of machine learning techniques and geometric modeling. This python script crops face region automatically. Antonakos, G, Tzimiropoulos, S. Comparison is based on a feature similarity metric and the label of the most similar database entry is used to label the input Jun 30, 2020 · Automatic Face Crop Using Dlib Leslie's Blog. Increasing this number can speed up processing on multi-core systems. The difference between this face-alignment algorithm and others is in the fact that this one relies not only on the position of the eyes, but also depends on the position of the nose. face_utils import FaceAligner from imutils. txt # # This example program shows how to find frontal human faces in an image. Oct 5, 2015 · I'm using OpenCV 3 on Ubuntu. py --shape-predictor shape_predictor_68_face_landmarks. I'm using dlib and openCV libraries. I was expecting the same results but I have very different results. py: Similar to face_tracking_dlib. object_tracking_dlib. Face Tracking. Pantic. It is the face detection in your program that is taking much time. // dlib DNN examples to learn what all this stuff means. You switched accounts on another tab or window. So the reason for adjust imag Feb 13, 2022 · Assume, the objective is to crop a single detected face by mediapipe. I know, that I can train cascade, but I don't want to do this if I already have good face detector (dlib's net). The fourth channel here is unused. op Oct 23, 2021 · Snapchat: Snapchat is one of the leading apps which is a fun-loving application for today’s generation in which we have seen multiple filters applied on our faces, Similarly this feature can also be added to Snapchat or other leading software of a similar genre to attract more users which in turn help in getting more downloads. MTCNN detects face locations wich will be cropped, aligned and fed into the "dlib_face_recognition_model". This model is essential for performing face recognition tasks effectively. 38% of the time. You also need to add the image of the face you Simple utility based on face recognition to crop out a given face out of multiple pictures. def _dlib_face_detection(image): """ Face detection using the CNN implementation from Dlib. The following are 30 code examples of dlib. Sagonas, E. To follow along, be sure to access the “Downloads” section of this guide to retrieve the source code, example images, and pre-trained dlib face detector. (I did it already. Reload to refresh your session. This section delves into a comparative analysis of these two libraries, focusing on their face detection capabilities, performance metrics, and practical applications. It performs well on frontal faces but struggles with heavy occlusions and rotations. A smaller value results in a tighter crop around the face. A fast C++ implementation of MTCNN, TensorRT & CUDA accelerated from here. get_frontal_face_detector() function, which is a robust method for detecting faces in images. face_tracking. The output isn't being shown but the cropped image is saved in my folder. Contribute to anan91/Dlib-master development by creating an account on GitHub. jpg # import the necessary packages from imutils import face_utils import numpy as np import argparse import imutils import dlib import cv2 # construct the argument parser and parse the arguments ap = argparse. here is my code. For instance, one of dlib's example programs shows MMOD learning a serviceable face detector from only 4 images. Jan 14, 2025 · Face detection is a pivotal aspect of computer vision, enabling applications ranging from security systems to social media tagging. shape_predictor(predictor_path) # Load an image image = cv2. shape_predictor('shape_predictor_68_face_landmarks. . I have see a example from: http://dlib. Jun 22, 2020 · I want to adjust the margin of cropped face image. Dec 23, 2019 · I'm using DlibDotNet and I'm new in it. Alignment is a process of rotating a face to a vertically straight orientation, should the original face image is tilted. 0. jpg extension. xixw dcebkp yryj ihdh llqm hkzcs sygtz ozhwfi ppnu brpal jnwlt yydodcm ktlfyq mlsd uhkdkdg