Can not open bbox_overlaps_cython from bbox.pyx about retinaface-tf2 HOT 19 CLOSED

So your advice helped and I was able to get output video from it. Thank you so much for all the help!!!

from retinaface-tf2.

Hi,
Did you run all the installation steps ? the rcnn module that contains the bbox operations needs to be built by running "make"

from retinaface-tf2.

I did run make in command window, but im not sure about how to use the python code from your "USAGE" part...when i open project in PyCharm and type in the usage code, it is still missing those imports from my message above. But probably im doing something wrong while executing code. Can you tell me what is best way to execute it?

from retinaface-tf2.

Or maybe if you can tell which version of python is best to work with

from retinaface-tf2.

when i try to run my main.py script with your usage code this shows as error (but a did run "make" and it executed well)

from retinaface-tf2.

Did you modify the line 2 of bbox_transform.py ?
The line should be
from ..cython.bbox import bbox_overlaps_cython
instead of
from cython.bbox import bbox_overlaps_cython

from retinaface-tf2.

I did, but if i put it back like it was, it shows this:

which means it still cant impor bbox.pyx but when a put "make" to terminal it shows this

from retinaface-tf2.

from retinaface-tf2.

not sure if this helps but when a do everything agan from a scratch and run "make" this shows up

from retinaface-tf2.

Apparently it is working when i run : python detect.py --weights_path="./data/retinafaceweights.npy" --sample_img="./sample-images/t2.jpg" in command window, but still dont know how to use it in main.py file like you did...i think there will be some issue with python version in my computer or something with Pytorch. Can you tell me what is best way to open main.py file for calling detect ? step-by-step? thank you so so much

from retinaface-tf2.

The output of the make command looks OK

So you can confirm that running python detect.py --weights_path="./data/retinafaceweights.npy" --sample_img="./sample-images/t2.jpg" generates the image output with correct bounging boxes ?

If running the python detect.py command works well, then the issue is related to how Pycharm python terminal (where you typed the usage code) searches for files / dependencies. I have never tried running python code in a Pycharm terminal. What I usually use is a tool called IPython. You can install it with pip ( pip install IPython), and then open a console by running IPython at the root of the project. There you should be able to type and execute the code. Let me know how it goes

from retinaface-tf2.

Hi im trying IPython, and my question is, when i type in the usage code, how can i see the result? i mean, when i type cv2.imshow("output",img) it start to loop and freeze and show nothing

from retinaface-tf2.

and also..is it possible to change your code so i can apply it on filevideostream?

from retinaface-tf2.

In order to show results, I would use cv2.imwrite function and save the output image to disk, as is done here :

It would be possible to apply the code to a video stream and run the algorithm on each frame of the video, yes, though I'm not sure the algorithm would be fast enough to process a video real time. That would depend on the size of the images from the video

from retinaface-tf2.

Is there any chance you could share with me code like that? cause as you can see im real begginer at cnn and programing at all...i dont need it to be fast or real time, just to apply algorithm on video an save that video in file...i tryed some changes here but i dont think its gonna work

from retinaface-tf2.

Hi its me again...so finally it looks like I made a code for applying your retinaface algorithm for video (see below) but when its done, i cant see any output file anywhere...any advice on that? Thanks

import cv2
import numpy as np
from absl import app, flags
from absl.flags import FLAGS
from retinaface import RetinaFace
import sys
import datetime
import os
import glob

flags.DEFINE_string('weights_path', './data/retinafaceweights.npy',
'network weights path')
flags.DEFINE_float('det_thresh', 0.9, "detection threshold")
flags.DEFINE_float('nms_thresh', 0.4, "nms threshold")
flags.DEFINE_bool('use_gpu_nms', True, "whether to use gpu for nms")
flags.DEFINE_string('video_path', './data/video_test.mp4',
'video path')

def _main(_argv):
cap = cv2.VideoCapture()
cap.open(FLAGS.video_path)

gpuid = 0
width  = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
size = (width,height)

fps = 24

frames = []
counter = 0


detector = RetinaFace(FLAGS.weights_path,FLAGS.use_gpu_nms, FLAGS.nms_thresh)

while True:
    (rv, im) = cap.read()   # im is a valid image if and only if rv is true

    if not rv: #we reached the end of video file, we write the modified frames to a new video file
        filename = '/data/output1.avi'
        out = cv2.VideoWriter(filename, cv2.VideoWriter_fourcc(*'MJPG'), fps, size, True)
        for i in range(len(frames)):
            out.write(frames[i])
        out.release()
        break

    counter = counter + 1
    
    #im_shape = im.shape
    #target_size = scales[0]
    #max_size = scales[1]
    #im_size_min = np.min(im_shape[0:2])
    #im_size_max = np.max(im_shape[0:2])
    #im_scale = float(target_size) / float(im_size_min)
    #if np.round(im_scale * im_size_max) > max_size:
        #im_scale = float(max_size) / float(im_size_max)
    faces, landmarks = detector.detect(im, FLAGS.det_thresh)
    if faces is not None:
        for i in range(faces.shape[0]):
            box = faces[i].astype(np.int)
            color = (0, 0, 255)
            cv2.rectangle(im, (box[0], box[1]), (box[2], box[3]), color, 2)
        
    frames.append(im)
    
    if counter % fps ==0:
        print(counter)
        
        
cap.release()

if name == 'main':
try:
app.run(_main)
except SystemExit:
pass

from retinaface-tf2.

In the code you posted, which seems ok, the results are saved in the object frames, which is a list of images, that put together, form the images of the video. You can for instance use the cv2.videoWriter object to save these images in a video format, as is presented here :
https://theailearner.com/2018/10/15/creating-video-from-images-using-opencv-python/

But you would write :

video = cv2.VideoWriter(video_name, 0, 1, (width,height))

for frame in frames
    video.write(frame)

cv2.destroyAllWindows()
video.release()

from retinaface-tf2.

So this code i used before is not good? Cause look pretty similar to me(see below) =D ..and i I use your code, is there no need to clarify codec for writer?

if not rv: #we reached the end of video file, we write the modified frames to a new video file
filename = '/data/output1.avi'
out = cv2.VideoWriter(filename, cv2.VideoWriter_fourcc(*'MJPG'), fps, size, True)
for i in range(len(frames)):
out.write(frames[i])
out.release()
break

from retinaface-tf2.

hi,
I can not run make command on windows.
Can you tell me how can I run that or is there any method to setup manually?
I want to use retinaface with PyCharm project

from retinaface-tf2.