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[Support]: Shape mismatch with custom Tensorflow model

See original GitHub issue

Describe the problem you are having

The model has a size of 420x280, widthxheight.

CPU model Labels

Swapping model width and height swaps error.

ValueError: could not broadcast input array from shape (1,280,420,3)
into shape (1,420,280,3)

Version

0.9.1-800f33e

Frigate config file

model:
  width: 420
  height: 280

cameras:
  back:
    ffmpeg:
      inputs:
        - path: "rtsp://"
          roles:
            - rtmp
            - detect
    detect:
      fps: 1
      width: 640
      height: 450
    motion:

Relevant log output

frigate      | Process camera_processor:back:                                      
frigate      | Traceback (most recent call last):                                  
frigate      |   File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in
_bootstrap
frigate      |     self.run()
frigate      |   File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in
run
frigate      |     self._target(*self._args, **self._kwargs)                       
frigate      |   File "/opt/frigate/frigate/video.py", line 362, in track_camera   
frigate      |     process_frames(
frigate      |   File "/opt/frigate/frigate/video.py", line 519, in process_frames 
frigate      |     detect(
frigate      |   File "/opt/frigate/frigate/video.py", line 410, in detect         
frigate      |     region_detections = object_detector.detect(tensor_input)        
frigate      |   File "/opt/frigate/frigate/edgetpu.py", line 264, in detect       
frigate      |     self.np_shm[:] = tensor_input[:]                                
frigate      | ValueError: could not broadcast input array from shape (1,420,280,3)
into shape (1,280,420,3)

FFprobe output from your camera

Duration: N/A, start: -0.693696, bitrate: N/A
  Stream #0:0: Video: h264 (High), yuv420p(progressive), 650x450 [SAR 1:1 DAR 13:9], 20 fps, 20 tbr, 90k tbn
  Stream #0:1: Audio: aac (LC), 44100 Hz, stereo, fltp

Frigate stats

No response

Operating system

Other Linux

Install method

Docker Compose

Coral version

CPU (no coral)

Network connection

Wired

Camera make and model

local test feed.

Any other information that may be helpful

No response

Issue Analytics

State:
Created 2 years ago
Comments:5 (2 by maintainers)

Top GitHub Comments

1reaction

blakeblackshearcommented, Dec 3, 2021

That’s fine. I don’t have any intention of stopping others from developing models that work with Frigate.

0reactions

Curidcommented, Dec 3, 2021

@blakeblackshear Just released a new custom model. Do you mind if I post about it in Custom Models #1043?

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