deeplabcut / deeplabcut-live-gui Goto Github PK

Hello,

I have a Basler USB camera I am wanting to add to the DLC live GUI.

In order to get the DLC live GUI to open, I made the changes specified in issue #4. The Basler camera is compatible with OpenCV, but for an unknown reason I am not able to open the Basler camera in the GUI. I was able to open the Basler camera through python using the following script on the Basler Github: https://github.com/basler/pypylon/blob/master/samples/opencv.py

However, I am not sure how to integrate this into the DLC Live GUI Camera opencv.py script. Do you have an idea on how to go about integrating the Basler opencv.py script into your opencv.py script of the DLC live GUI work flow?

Thank you!

Hi,

We meet some problems when set the processor.

When we click "set proc" button in the GUI, the code in lines 1006-1010 fails to execute because self.cfg['processor_args'] is None, as indicated in the variable panel. This issue is from the config file, where "processor_arg" was blank (as shown in top vscod panel). After commenting out lines 1006-1010, the error no longer appears. Is it acceptable to leave these lines commented, or should we initialize processor_args in the JSON file from the start?

Thank you!

I am experiencing a sudden slow-down in performance in DLC Live, and I was wondering if anyone has seen this before and knows how to fix it.

I am running a simple python script that receives imagery data over memory mapped files:

The pose estimation takes normally about 12-14msec... but the, all of sudden, it jumps to ~140ms:

Any ideas what this could be? It happens after this processing loops has been working for 2-3 minutes. It always starts Ok and then it slows down. This is running on a Quadro M6000 24GB.

Thank you!

Dario

Hello, I’m new to DeepLabCut-Live as well as to GitHub. Please kindly forgive me if I miss any guidelines. Thank you in advance for your patience and help.

Recently while trying to set up camera in the GUI, I found that if the resolution is set other than 640,480, the pop-up window would be entirely black when I click on the “Init Cam” button. However, the default settings (with a resolution of 640, 480) work well. Similar problems also arise when values are entered into “crop” (under the condition that resolution is set as 640, 480 as default).

I've posted this issue on image.sc (https://forum.image.sc/t/deeplabcut-live-gui-camera-cannot-change-resolution-or-crop/61488) about two weeks ago, and just found that GitHub also provides this Issues section. Sorry for not have noticed this. During these two weeks I have managed to solve some of the problems but encountered more. I'll describe them in detail below (those described in the post on image.sc are also included).

(For debugging purpose, I have created another environment and made some modifications to the codes. Please accept my apology if this is inappropriate.)

System information
Operating system: Windows 10 64-bit
Python version: 3.7.11
OpenCV version: originally 4.5.4.60 but changed to 4.5.5.62 (Please see below for details)
Camera: USB cameras purchased from local manufacturer (it seems that they do not have a brand name in English), the cameras can be controlled by OpenCV

(1) Problem setting resolution
I’ve first tested possible resolutions for my camera as in https://www.learnpythonwithrune.org/find-all-possible-webcam-resolutions-with-opencv-in-python/. 640 * 480, 800 * 600, 1024 * 768, 1280 *720, 1280 * 960, and 1920 * 1080 are all possible resolutions. (This test was run in the dlc-live environment)

However, if the resolution is set as 800, 600 in the GUI, there would be error messages:

Traceback (most recent call last):
  File "C:\Users\zoosh\anaconda3\envs\dlc-live\lib\site-packages\multiprocess\process.py", line 297, in _bootstrap
    self.run()
  File "C:\Users\zoosh\anaconda3\envs\dlc-live\lib\site-packages\multiprocess\process.py", line 99, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\zoosh\anaconda3\envs\dlc-live\lib\site-packages\dlclivegui\camera_process.py", line 99, in _run_capture
    self._capture_loop()
  File "C:\Users\zoosh\anaconda3\envs\dlc-live\lib\site-packages\dlclivegui\camera_process.py", line 120, in _capture_loop
    np.copyto(self.frame, frame)
  File "<__array_function__ internals>", line 6, in copyto
ValueError: could not broadcast input array from shape (480,640,3) into shape (600,800,3)

If the resolution is set as other values, similar errors would also arise like:
ValueError: could not broadcast input array from shape (480,640,3) into shape (height,width,3)

I created another environment for debugging and added some codes to check if self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.im_size[0]) and self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.im_size[1]) actually works. It turns out that although self.im_size is successfully set as 800, 600, self.cap.get(cv2.CAP_PROP_FRAME_WIDTH) and self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT) still returned 640, 480. However, when I go into python -i the self.cap.set() commands are able to work, so I'm not sure about what's going wrong.

After that I upgraded the opencv-python from version 4.5.4.60 to version 4.5.5.62, and the CAP_PROP_FRAME_WIDTH and CAP_PROP_FRAME_HEIGHT can be successfully set as values other that 640,480 now. However, another problem showed up:

Traceback (most recent call last):
  File "C:\Users\zoosh\anaconda3\envs\dlc-live-debug\lib\site-packages\multiprocess\process.py", line 297, in _bootstrap
    self.run()
  File "C:\Users\zoosh\anaconda3\envs\dlc-live-debug\lib\site-packages\multiprocess\process.py", line 99, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\zoosh\anaconda3\envs\dlc-live-debug\lib\site-packages\dlclivegui\camera_process.py", line 99, in _run_capture
    self._capture_loop()
  File "C:\Users\zoosh\anaconda3\envs\dlc-live-debug\lib\site-packages\dlclivegui\camera_process.py", line 116, in _capture_loop
    frame, frame_time = self.device.get_image_on_time()
  File "C:\Users\zoosh\anaconda3\envs\dlc-live-debug\lib\site-packages\dlclivegui\camera\opencv.py", line 154, in get_image_on_time
    ret, frame = self.cap.read()
cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\core\src\matrix.cpp:438: error: (-215:Assertion failed) _step >= minstep in function 'cv::Mat::Mat'

This error showed up for every acceptable resolution value except for 640, 480. However, when I switched to another USB camera that allowed a resolution of 320, 240, this error would not show up, but what the pop-up window showed was the upper-left part of the 640*480 frame.

It seemed to me that there might be something wrong related to OpenCV. However, I have no idea how to fix it. It would really be of great help if there's a solution to it. Many thanks in advance.

(2) Problem cropping
Under the condition that resolution is set as 640, 480, when crop is set as 0, 320, 0, 240, error messages showed:
ValueError: could not broadcast input array from shape (240,320,3) into shape (320,240,3)
After inspecting into the codes, I found that in the function set_im_size of Camera object, the variable self.im_size would be set as [240,320] if 0,320,0,240 were passed to ‘‘crop’’ in the GUI. This seems to eventually cause the dimensions of self.frame to be set as (320,240,3), which would be incompatible with the dimensions of variable frame as it should be (240,320,3).

In the environment for debugging, I tried to modify the below codes:

self.im_size = (
    (int(res[0]), int(res[1]))
    if self.crop is None
    else (self.crop[3] - self.crop[2], self.crop[1] - self.crop[0])
)

into:

self.im_size = (
    (int(res[0]), int(res[1]))
    if self.crop is None
    else (self.crop[1] - self.crop[0], self.crop[3] - self.crop[2])
)

and the cropping finally works.

However, when the opencv-python was upgraded to 4.5.5.62, another issue showed up that self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.im_size[0]) and self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.im_size[1]) would try to set the frame size as the size after cropping, which would actually lead to a nearest possible resolution being set.

(This would not happen in opencv-python 4.5.4.60 since the camera resolution cannot be set other than 640*480.)

For example, if I use the camera that also allows 320*240, when setting resolution as 640, 480 and crop as 210,530,90,410, the error message would be:
ValueError: could not broadcast input array from shape (150,110,3) into shape (320,320,3)
And self.cap.get(cv2.CAP_PROP_FRAME_WIDTH) and self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT) gave a resolution of 320, 240.

I tried to resolve this by modifying the values passed to self.im_size again:

self.im_size = (
    (int(res[0]), int(res[1]), int(res[0]), int(res[1]))
    if self.crop is None
    else (self.crop[1] - self.crop[0], self.crop[3] - self.crop[2], int(res[0]), int(res[1]))
)

and went to set_capture_device under opencv.py to set:

if self.im_size:
    self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, self.im_size[2])
    self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, self.im_size[3])

This solved the problem. self.cap.get(cv2.CAP_PROP_FRAME_WIDTH) and self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT) now give a resolution of 640, 480 and the frame can be cropped and displayed adequately.

Summary
The resolution problem still cannot be solved, probably due to some problems related to OpenCV. The cropping problem seemed to be able to be solved via above-mentioned modifications to the codes. As for now I have no idea what I can do for the resolution problem. I would really be grateful if these problems can be fixed. Also, I'm not sure whether my modifications for solving the cropping problem can be compatible with other functions in the packages. If you would like to consider fixing these problems in the official codes, it would really be of great help. Many many thanks and best regards.

I am using the DLC Live GUI and connecting to an RTSP stream of a camera. It seems that after a certain period of time (30s - 2 minutes) the camera that is initialized freezes on the frame within the DLC window.

If it matters at all, I am using a GPU (NVIDIA RTX 3080) and also have 32GB of RAM on this machine.

Would there be any reason why this is happening?

All seemed to have installed fine, but when I run dlclivegui in the environment I get:

Is this just a missing imaging source driver?

envs\dlclg\lib\site-packages\dlclivegui\video.py", line 194, in create_labeled_video
this_bp = this_pose[this_pose["bodyparts"] == bodyparts[j]][
IndexError: only integers, slices (:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices

I have used dlc before, and dlc can generate csv files about the coordinates and positions of animals. But it seems that there is no such function in dlclivegui, can you help me solve this problem.

Thank you so much!

Hi! I want to use the basler camera with dlc-live/gui but I want it to be triggered manually. I can use the arduino to do that but I want to know where in the code I can make the changes to accomplish that. Kindly guide me about it.

Hi, I am getting a keyerror when I click on set process. Is this supposed to happen?

Hi,

I cannot make our Basler camera work with deeplabcut-live-GUI. I installed dlclivegui from the Basler branch, installed pylon viewer, pypylon, swig. the Gui opens, but I cannot see my camera.

Windows 11
python 3.9

Exception in Tkinter callback
Traceback (most recent call last):
File "C:\Users\TDT\anaconda3\envs\dlc_live\lib\tkinter_init_.py", line 1885, in call
return self.func(*args)
File "C:\Users\TDT\anaconda3\envs\dlc_live\lib\site-packages\dlclivegui\dlclivegui.py", line 317, in edit_cam_settings
arg_names, arg_vals, arg_dtypes, arg_restrict = self.get_cam_args()
File "C:\Users\TDT\anaconda3\envs\dlc_live\lib\site-packages\dlclivegui\dlclivegui.py", line 380, in get_cam_args
cam_obj = getattr(camera, this_cam["type"])
AttributeError: module 'dlclivegui.camera' has no attribute 'Add Camera'

What am I missing?

Any advice would be very helpful. Thank you
Nadine

Hi,

I had difficulties with the installation but the solution to one of the previous issues helped. Thank you for that!

However, I cannot install tensorflow 2.0-2.10:

(dlc_live) C:\Users\TDT>pip install "tensorflow>=2.0,<=2.10" ERROR: Could not find a version that satisfies the requirement tensorflow<=2.10,>=2.0 (from versions: 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0) ERROR: No matching distribution found for tensorflow<=2.10,>=2.0

I am using python 2.9.0

I just installed "tenserflow" and it used version 2.15. and of course this caused compatibility issues when installing dlclivegui:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-intel 2.15.0 requires keras<2.16,>=2.15.0, but you have keras 2.10.0 which is incompatible.
tensorflow-intel 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.
tensorflow-intel 2.15.0 requires tensorboard<2.16,>=2.15, but you have tensorboard 2.10.1 which is incompatible.
tensorflow-intel 2.15.0 requires tensorflow-estimator<2.16,>=2.15.0, but you have tensorflow-estimator 2.10.0 which is incompatible.

How can I fix this?

Thanks
Nadine

I'm having difficulties installing the deeplabcut-live-gui on my windows laptop. Any ideas if this is compatible with windows and what is necessary steps to take.
I've already tried installing through conda using the conda activate dlc-live and pip install deeplabcut-live-gui, through normal conda install and miniconda install. However, I'm met with the error: "ERROR: Could not find a version that satisfies the requirement deeplabcut-live-gui (from versions: none)" and "ERROR: No matching distribution found for deeplabcut-live-gui"
Any idea how to resolve this issue?

hello,
i finished the installation and passed the dlc-live-test. it worked well
but when i start the gui, something was wrong with it.

Hi,
I am trying to integrate e3Vision Camera into the deeplabcut-live GUI, and even found a file in the company's website on how to run the camera using OpenCV and it runs pretty fine, https://docs.white-matter.com/docs/e3vision/sample-scripts/opencv/.
However, I am trying to load the same from the GUI but I don't find any option to feed in the file or anything else, or even put in the IP address for the camera. Can you recommend me the changes that I need to make in any of the scripts? I have already looked at camera_support.md and tried to make similar changes, but it didn't seem to work. Thank you!

hello

I want to draw the trajectory of a pose point, using img_draw() to draw the trajectory, but I can't get the coordinates of that point from the previous frame.

I created the queue and wanted to put the coordinates of the point in the queue to call, but it didn't seem to work

Thank you in advance for your answers

I have downloaded all eight pretrained models from Deeplabcut Model Zoo and tried to use the pretrained model with a webcam.

First I tried the primate_face model to mark key points on my face and it worked like a charm. However when I tried the human_fullbody model I got some error messages.

(dlc-live) C:\Users\dell>dlclivegui
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
Process SpawnProcess-2:
Traceback (most recent call last):
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\importer.py", line 426, in import_graph_def
    graph._c_graph, serialized, options)  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=dilations:list(int),default=[1, 1, 1, 1]>; NodeDef: {{node DLC/resnet_v1_101/conv1/Conv2D}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\multiprocess\process.py", line 297, in _bootstrap
    self.run()
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\multiprocess\process.py", line 99, in run
    self._target(*self._args, **self._kwargs)
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\dlclivegui\pose_process.py", line 73, in _run_pose
    ret = self._open_dlc_live(dlc_params)
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\dlclivegui\pose_process.py", line 96, in _open_dlc_live
    self.frame, frame_time=self.frame_time[0], record=False
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\dlclive\dlclive.py", line 289, in init_inference
    graph = finalize_graph(graph_def)
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\dlclive\graph.py", line 52, in finalize_graph
    tf.import_graph_def(graph_def, name="DLC")
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\importer.py", line 430, in import_graph_def
    raise ValueError(str(e))
ValueError: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=dilations:list(int),default=[1, 1, 1, 1]>; NodeDef: {{node DLC/resnet_v1_101/conv1/Conv2D}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).

Below are the messages I got when I use the primate_face model.

(dlc-live) C:\Users\dell>dlclivegui
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\videoio\src\cap_msmf.cpp (666) CvCapture_MSMF::initStream Failed to reset streams
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
c:\users\dell\anaconda3\envs\dlc-live\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
2021-01-30 08:19:01.758240: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-30 08:19:01.962996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545
pciBusID: 0000:65:00.0
totalMemory: 11.00GiB freeMemory: 9.90GiB
2021-01-30 08:19:01.963161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2021-01-30 08:19:02.486712: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-30 08:19:02.486873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990]      0
2021-01-30 08:19:02.488392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0:   N
2021-01-30 08:19:02.489246: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9541 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:65:00.0, compute capability: 7.5)

I might be the only person who is facing this issue but I didn't have it for majority of GUI based open-source softwares. I have also documented my question in AskUbuntu. I was wondering if you have tried this with Ubuntu 20.04?

https://askubuntu.com/questions/1278043/how-can-i-make-the-size-of-a-gui-in-ubuntu-20-04-larger

Hi there,

I'm hoping to use DLC-Live with a virtual camera. I'm currently using pyvirtualcam (https://pypi.org/project/pyvirtualcam/) to create a virtual camera. By combining this with OBS, I'm able to have my virtual camera detected by programs like skype, zoom, etc.

When I try and find my virtual camera in the DLC-live dropdown, it doesn't show up.

Any help would be greatly appreciated!

Best,
Joe

All good until last step... and then:

(dlc-live) dario@dario-jetson:~$ pip install deeplabcut-live
Collecting deeplabcut-live
Downloading deeplabcut_live-1.0-py3-none-any.whl (28 kB)
Collecting numpy<1.19.0
Downloading numpy-1.18.5.zip (5.4 MB)
|████████████████████████████████| 5.4 MB 13.5 MB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... done
Collecting ruamel.yaml
Downloading ruamel.yaml-0.16.13-py2.py3-none-any.whl (111 kB)
|████████████████████████████████| 111 kB 9.9 MB/s
Collecting pillow
Downloading Pillow-8.1.2-cp36-cp36m-manylinux2014_aarch64.whl (2.1 MB)
|████████████████████████████████| 2.1 MB 14.9 MB/s
Collecting colorcet
Downloading colorcet-2.0.6-py2.py3-none-any.whl (1.6 MB)
|████████████████████████████████| 1.6 MB 15.5 MB/s
Collecting opencv-python
Downloading opencv_python-4.5.1.48-cp36-cp36m-manylinux2014_aarch64.whl (34.5 MB)
|████████████████████████████████| 34.5 MB 22 kB/s
Collecting tqdm
Downloading tqdm-4.59.0-py2.py3-none-any.whl (74 kB)
|████████████████████████████████| 74 kB 2.0 MB/s
Collecting tables
Downloading tables-3.6.1.tar.gz (4.6 MB)
|████████████████████████████████| 4.6 MB 12.9 MB/s
Collecting deeplabcut-live
Downloading deeplabcut_live-0.0.3-py3-none-any.whl (39 kB)
Collecting numpy
Downloading numpy-1.19.5-cp36-cp36m-manylinux2014_aarch64.whl (12.4 MB)
|████████████████████████████████| 12.4 MB 10.8 MB/s
Collecting deeplabcut-live
Downloading deeplabcut_live-0.0.2-py3-none-any.whl (42 kB)
|████████████████████████████████| 42 kB 404 kB/s
Downloading deeplabcut_live-0.0.1-py3-none-any.whl (29 kB)
Downloading deeplabcut_live-0.0-py3-none-any.whl (39 kB)
Collecting py-cpuinfo==5.0.0
Downloading py-cpuinfo-5.0.0.tar.gz (82 kB)
|████████████████████████████████| 82 kB 221 kB/s
Collecting pandas
Downloading pandas-1.1.5-cp36-cp36m-manylinux2014_aarch64.whl (9.5 MB)
|████████████████████████████████| 9.5 MB 9.4 MB/s
Collecting pyct>=0.4.4
Downloading pyct-0.4.8-py2.py3-none-any.whl (15 kB)
Collecting param>=1.7.0
Downloading param-1.10.1-py2.py3-none-any.whl (76 kB)
|████████████████████████████████| 76 kB 3.8 MB/s
Collecting pytz>=2017.2
Downloading pytz-2021.1-py2.py3-none-any.whl (510 kB)
|████████████████████████████████| 510 kB 14.2 MB/s
Collecting python-dateutil>=2.7.3
Downloading python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
|████████████████████████████████| 227 kB 14.5 MB/s
Collecting six>=1.5
Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting ruamel.yaml.clib>=0.1.2
Downloading ruamel.yaml.clib-0.2.2-cp36-cp36m-manylinux2014_aarch64.whl (540 kB)
|████████████████████████████████| 540 kB 12.8 MB/s
Collecting numexpr>=2.6.2
Downloading numexpr-2.7.3-cp36-cp36m-manylinux2014_aarch64.whl (481 kB)
|████████████████████████████████| 481 kB 15.4 MB/s
Using legacy 'setup.py install' for py-cpuinfo, since package 'wheel' is not installed.
Using legacy 'setup.py install' for tables, since package 'wheel' is not installed.
Installing collected packages: six, param, numpy, ruamel.yaml.clib, pytz, python-dateutil, pyct, numexpr, tqdm, tables, ruamel.yaml, py-cpuinfo, pillow, pandas, colorcet, deeplabcut-live
Running setup.py install for tables ... error
ERROR: Command errored out with exit status -4:
command: /home/dario/dlc-live/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-p9_amnr6/tables_db97b7244bac4c15a79f2d6898028816/setup.py'"'"'; file='"'"'/tmp/pip-install-p9_amnr6/tables_db97b7244bac4c15a79f2d6898028816/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /tmp/pip-record-wtlkb57w/install-record.txt --single-version-externally-managed --compile --install-headers /home/dario/dlc-live/include/site/python3.6/tables
cwd: /tmp/pip-install-p9_amnr6/tables_db97b7244bac4c15a79f2d6898028816/
Complete output (188 lines):
* Using Python 3.6.9 (default, Jan 26 2021, 15:33:00)
* USE_PKGCONFIG: True
* pkg-config header dirs for HDF5: /usr/include/hdf5/serial
* pkg-config library dirs for HDF5: /usr/lib/aarch64-linux-gnu/hdf5/serial
* Found HDF5 headers at /usr/include/hdf5/serial, library at /usr/lib/aarch64-linux-gnu/hdf5/serial.
.. WARNING:: Could not find the HDF5 runtime.
The HDF5 shared library was not found in the default library
paths. In case of runtime problems, please remember to install it.
/tmp/lzo_version_datesb8__dcy.c:1:1: warning: return type defaults to ‘int’ [-Wimplicit-int]
main (int argc, char **argv) {
^~~~
/tmp/lzo_version_datesb8__dcy.c: In function ‘main’:
/tmp/lzo_version_datesb8__dcy.c:2:5: warning: implicit declaration of function ‘lzo_version_date’ [-Wimplicit-function-declaration]
lzo_version_date();
^~~~~~~~~~~~~~~~
/usr/bin/ld: cannot find -llzo2
collect2: error: ld returned 1 exit status
* Could not find LZO 2 headers and library; disabling support for it.
/tmp/lzo_version_datewqm9562s.c:1:1: warning: return type defaults to ‘int’ [-Wimplicit-int]
main (int argc, char **argv) {
^~~~
/tmp/lzo_version_datewqm9562s.c: In function ‘main’:
/tmp/lzo_version_datewqm9562s.c:2:5: warning: implicit declaration of function ‘lzo_version_date’ [-Wimplicit-function-declaration]
lzo_version_date();
^~~~~~~~~~~~~~~~
/usr/bin/ld: cannot find -llzo
collect2: error: ld returned 1 exit status
* Could not find LZO 1 headers and library; disabling support for it.
/tmp/BZ2_bzlibVersionr8ji2103.c:1:1: warning: return type defaults to ‘int’ [-Wimplicit-int]
main (int argc, char **argv) {
^~~~
/tmp/BZ2_bzlibVersionr8ji2103.c: In function ‘main’:
/tmp/BZ2_bzlibVersionr8ji2103.c:2:5: warning: implicit declaration of function ‘BZ2_bzlibVersion’ [-Wimplicit-function-declaration]
BZ2_bzlibVersion();
^~~~~~~~~~~~~~~~
/usr/bin/ld: cannot find -lbz2
collect2: error: ld returned 1 exit status
* Could not find bzip2 headers and library; disabling support for it.
/tmp/blosc_list_compressorsv4to05p7.c:1:1: warning: return type defaults to ‘int’ [-Wimplicit-int]
main (int argc, char **argv) {
^~~~
/tmp/blosc_list_compressorsv4to05p7.c: In function ‘main’:
/tmp/blosc_list_compressorsv4to05p7.c:2:5: warning: implicit declaration of function ‘blosc_list_compressors’ [-Wimplicit-function-declaration]
blosc_list_compressors();
^~~~~~~~~~~~~~~~~~~~~~
/usr/bin/ld: cannot find -lblosc
collect2: error: ld returned 1 exit status
* Could not find blosc headers and library; using internal sources.
/usr/lib/python3.6/distutils/dist.py:261: UserWarning: Unknown distribution option: 'extra_require'
warnings.warn(msg)
running install
running build
running build_py
creating build
creating build/lib.linux-aarch64-3.6
creating build/lib.linux-aarch64-3.6/tables
copying tables/idxutils.py -> build/lib.linux-aarch64-3.6/tables
copying tables/leaf.py -> build/lib.linux-aarch64-3.6/tables
copying tables/vlarray.py -> build/lib.linux-aarch64-3.6/tables
copying tables/node.py -> build/lib.linux-aarch64-3.6/tables
copying tables/flavor.py -> build/lib.linux-aarch64-3.6/tables
copying tables/filters.py -> build/lib.linux-aarch64-3.6/tables
copying tables/carray.py -> build/lib.linux-aarch64-3.6/tables
copying tables/atom.py -> build/lib.linux-aarch64-3.6/tables
copying tables/conditions.py -> build/lib.linux-aarch64-3.6/tables
copying tables/parameters.py -> build/lib.linux-aarch64-3.6/tables
copying tables/utils.py -> build/lib.linux-aarch64-3.6/tables
copying tables/file.py -> build/lib.linux-aarch64-3.6/tables
copying tables/registry.py -> build/lib.linux-aarch64-3.6/tables
copying tables/indexes.py -> build/lib.linux-aarch64-3.6/tables
copying tables/link.py -> build/lib.linux-aarch64-3.6/tables
copying tables/init.py -> build/lib.linux-aarch64-3.6/tables
copying tables/index.py -> build/lib.linux-aarch64-3.6/tables
copying tables/earray.py -> build/lib.linux-aarch64-3.6/tables
copying tables/array.py -> build/lib.linux-aarch64-3.6/tables
copying tables/description.py -> build/lib.linux-aarch64-3.6/tables
copying tables/attributeset.py -> build/lib.linux-aarch64-3.6/tables
copying tables/exceptions.py -> build/lib.linux-aarch64-3.6/tables
copying tables/table.py -> build/lib.linux-aarch64-3.6/tables
copying tables/group.py -> build/lib.linux-aarch64-3.6/tables
copying tables/expression.py -> build/lib.linux-aarch64-3.6/tables
copying tables/unimplemented.py -> build/lib.linux-aarch64-3.6/tables
copying tables/undoredo.py -> build/lib.linux-aarch64-3.6/tables
copying tables/req_versions.py -> build/lib.linux-aarch64-3.6/tables
copying tables/path.py -> build/lib.linux-aarch64-3.6/tables
creating build/lib.linux-aarch64-3.6/tables/nodes
copying tables/nodes/filenode.py -> build/lib.linux-aarch64-3.6/tables/nodes
copying tables/nodes/init.py -> build/lib.linux-aarch64-3.6/tables/nodes
creating build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_expression.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_indexvalues.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/create_backcompat_indexes.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_tablesMD.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/common.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_timestamps.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_do_undo.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_timetype.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_suite.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_enum.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_hdf5compat.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_carray.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_attributes.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_garbage.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_earray.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_basics.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_tables.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_indexes.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_aux.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_types.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/init.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_queries.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_array.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_utils.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_create.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_nestedtypes.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_lists.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_index_backcompat.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_backcompat.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_numpy.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_vlarray.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/check_leaks.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_tree.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_links.py -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_all.py -> build/lib.linux-aarch64-3.6/tables/tests
creating build/lib.linux-aarch64-3.6/tables/misc
copying tables/misc/proxydict.py -> build/lib.linux-aarch64-3.6/tables/misc
copying tables/misc/enum.py -> build/lib.linux-aarch64-3.6/tables/misc
copying tables/misc/init.py -> build/lib.linux-aarch64-3.6/tables/misc
creating build/lib.linux-aarch64-3.6/tables/scripts
copying tables/scripts/pttree.py -> build/lib.linux-aarch64-3.6/tables/scripts
copying tables/scripts/ptrepack.py -> build/lib.linux-aarch64-3.6/tables/scripts
copying tables/scripts/ptdump.py -> build/lib.linux-aarch64-3.6/tables/scripts
copying tables/scripts/init.py -> build/lib.linux-aarch64-3.6/tables/scripts
copying tables/scripts/pt2to3.py -> build/lib.linux-aarch64-3.6/tables/scripts
creating build/lib.linux-aarch64-3.6/tables/nodes/tests
copying tables/nodes/tests/test_filenode.py -> build/lib.linux-aarch64-3.6/tables/nodes/tests
copying tables/nodes/tests/init.py -> build/lib.linux-aarch64-3.6/tables/nodes/tests
copying tables/tests/itemsize.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/vlstr_attr.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/elink.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/bug-idx.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/idx-std-1.x.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/zerodim-attrs-1.3.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/indexes_2_0.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/ex-noattr.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/float.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_i64le.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_unsupptype.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/Tables_lzo1_shuffle.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/times-nested-be.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/Tables_lzo2.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_i32be.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/Tables_lzo2_shuffle.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/vlunicode_endian.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/blosc_bigendian.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/Table2_1_lzo_nrv2e_shuffle.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/issue_368.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/time-table-vlarray-1_x.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/nested-type-with-gaps.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_enum.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/python2.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/non-chunked-table.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/oldflavor_numeric.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_f64le.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/array_mdatom.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_f64be.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_szip.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/scalar.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/slink.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_SDSextendible.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_i64be.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/issue_560.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_compound_chunked.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/indexes_2_1.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/Tables_lzo1.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/flavored_vlarrays-format1.6.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/smpl_i32le.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/attr-u16.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/elink2.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/python3.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/zerodim-attrs-1.4.h5 -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_ref_array2.mat -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/matlab_file.mat -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/tests/test_ref_array1.mat -> build/lib.linux-aarch64-3.6/tables/tests
copying tables/nodes/tests/test_filenode.dat -> build/lib.linux-aarch64-3.6/tables/nodes/tests
copying tables/nodes/tests/test_filenode.xbm -> build/lib.linux-aarch64-3.6/tables/nodes/tests
copying tables/nodes/tests/test_filenode_v1.h5 -> build/lib.linux-aarch64-3.6/tables/nodes/tests
running build_ext
----------------------------------------
ERROR: Command errored out with exit status -4: /home/dario/dlc-live/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-p9_amnr6/tables_db97b7244bac4c15a79f2d6898028816/setup.py'"'"'; file='"'"'/tmp/pip-install-p9_amnr6/tables_db97b7244bac4c15a79f2d6898028816/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /tmp/pip-record-wtlkb57w/install-record.txt --single-version-externally-managed --compile --install-headers /home/dario/dlc-live/include/site/python3.6/tables Check the logs for full command output.

Hello,
I saw in the previous question that DLC-Live does not support multi-object detection at present.

But I really need the coordinates of another object, so I add OpencV-based object recognition to display_frame(self),

It succeeded and was able to identify the desired object coordinates, but I was unable to call this parameter in Process

And you can see that at the end it always returns the initial value

I'm not sure what caused it, any suggestions I'd appreciate

The identification code, the calling function, and the output are in the following TXT file

Identify and call functions.txt

Is there any documentation on setting up an RTSP camera using the dlc-live-gui? I have looked for examples of doing this through using OpenCV with RTSP but have not had any luck.

Describe the bug:
Running deeplabcut-live-gui on Windows 10 in a conda environment fails due to "OSError: [WinError 126] The specified module could not be found"(this words is just the same as "找不到指定模块" in my screenshot), but i just used "dlclivegui" after installing.

I will be very appreciated if you could give me an reply.

I decided to start slow...
Installed on dlc-live on Windows -- no problem. Tensor flow versions match (1.15.4)
I initialize the camera... it comes up Ok. I have no Processor for now.
I select the model and click "Init DLC" and I get the out of range error in the image below.
Did I do something wrong?