Closed jjgraham closed 3 years ago
Hello, yes, we're working on a fix for this as our old API was deprecated. For now, please use my fork: https://github.com/Namburger/project-posenet More details here: https://github.com/google-coral/project-posenet/issues/42#issuecomment-738026058
Closer ! simple_pose.py works now but pose_camera.py is not happy about the input size ValueError: input size=925444, expected=924963.
mendel@k3s-tpu-04:~/project-posenet$ python3 simple_pose.py Inference time: 19 ms
Pose Score: 0.60673916 KeypointType.NOSE x=210 y=152 score=1.0 KeypointType.LEFT_EYE x=223 y=138 score=1.0 KeypointType.RIGHT_EYE x=199 y=137 score=1.0 KeypointType.LEFT_EAR x=244 y=135 score=1.0 KeypointType.RIGHT_EAR x=183 y=129 score=0.8 KeypointType.LEFT_SHOULDER x=269 y=169 score=0.8 KeypointType.RIGHT_SHOULDER x=160 y=174 score=1.0 KeypointType.LEFT_ELBOW x=281 y=255 score=0.6 KeypointType.RIGHT_ELBOW x=153 y=253 score=0.9 KeypointType.LEFT_WRIST x=237 y=332 score=0.6 KeypointType.RIGHT_WRIST x=163 y=304 score=0.5 KeypointType.LEFT_HIP x=261 y=317 score=0.1 KeypointType.RIGHT_HIP x=173 y=309 score=0.1 KeypointType.LEFT_KNEE x=223 y=339 score=0.3 KeypointType.RIGHT_KNEE x=200 y=342 score=0.3 KeypointType.LEFT_ANKLE x=186 y=407 score=0.1 KeypointType.RIGHT_ANKLE x=188 y=410 score=0.2
Pose Score: 0.54908466 KeypointType.NOSE x=400 y=145 score=1.0 KeypointType.LEFT_EYE x=418 y=129 score=1.0 KeypointType.RIGHT_EYE x=383 y=127 score=1.0 KeypointType.LEFT_EAR x=458 y=110 score=0.9 KeypointType.RIGHT_EAR x=371 y=121 score=0.2 KeypointType.LEFT_SHOULDER x=496 y=168 score=1.0 KeypointType.RIGHT_SHOULDER x=361 y=150 score=0.8 KeypointType.LEFT_ELBOW x=463 y=291 score=1.0 KeypointType.RIGHT_ELBOW x=331 y=245 score=0.8 KeypointType.LEFT_WRIST x=340 y=305 score=0.9 KeypointType.RIGHT_WRIST x=234 y=332 score=0.5 KeypointType.LEFT_HIP x=485 y=312 score=0.1 KeypointType.RIGHT_HIP x=364 y=327 score=0.1 KeypointType.LEFT_KNEE x=470 y=336 score=0.0 KeypointType.RIGHT_KNEE x=245 y=329 score=0.1 KeypointType.LEFT_ANKLE x=444 y=381 score=0.0 KeypointType.RIGHT_ANKLE x=188 y=410 score=0.2
mendel@k3s-tpu-04:~/project-posenet$ python3 pose_camera.py /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: Gst was imported without specifying a version first. Use gi.require_version('Gst', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: GstBase was imported without specifying a version first. Use gi.require_version('GstBase', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: GstVideo was imported without specifying a version first. Use gi.require_version('GstVideo', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: Gtk was imported without specifying a version first. Use gi.require_version('Gtk', '3.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk Loading model: models/mobilenet/posenet_mobilenet_v1_075_481_641_quant_decoder_edgetpu.tflite Detected Edge TPU dev board. Gstreamer pipeline: v4l2src device=/dev/video0 ! video/x-raw,width=640,height=480,framerate=30/1 ! decodebin ! glupload ! glvideoflip video-direction=identity ! tee name=t t. ! queue max-size-buffers=1 leaky=downstream ! freezer name=freezer ! glsvgoverlaysink name=overlaysink t. ! queue max-size-buffers=1 leaky=downstream ! glfilterbin filter=glbox name=glbox ! video/x-raw,format=RGB,width=641,height=481 ! appsink name=appsink emit-signals=true max-buffers=1 drop=true
Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python3.7/threading.py", line 917, in _bootstrap_inner self.run() File "/usr/lib/python3.7/threading.py", line 865, in run self._target(*self._args, **self._kwargs) File "/home/mendel/project-posenet/gstreamer.py", line 180, in inference_loop output = self.inf_callback(input_tensor) File "pose_camera.py", line 148, in run_inference return engine.run_inference(input_tensor) File "/home/mendel/project-posenet/pose_engine.py", line 96, in run_inference edgetpu.run_inference(self._interpreter, input_data) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 169, in run_inference _check_input_size(memory.size, expected_input_size) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 141, in _check_input_size input_size, expected_input_size)) ValueError: input size=925444, expected=924963.
We have 32 Coral Dev Boards and most of the demos now fail after flashing enterprise-eagle-20200724205123 because edgetpu https://github.com/google-coral/edgetpu has been branded Legacy and replaced by libedgetpu
mendel@k3s-tpu-09:~/project-posenet$ python3 simple_pose.py Traceback (most recent call last): File "simple_pose.py", line 18, in <module> from pose_engine import PoseEngine File "/home/mendel/project-posenet/pose_engine.py", line 20, in <module> from edgetpu import __version__ as edgetpu_version ModuleNotFoundError: No module named 'edgetpu'
Are there any plans to update the example code soon ? Can i substitute libedgetpu easily ?
I doubted. I tried removing pycoral, and adding legacy packages but couldn't resolve dependencies. I tried going back to Day13 version but that also failed in reflashing
I ran into this issue with the new repo after running pose_camera.py
oading model: models/mobilenet/posenet_mobilenet_v1_075_481_641_quant_decoder_edgetpu.tflite Detected Edge TPU dev board. Gstreamer pipeline: v4l2src device=/dev/video0 ! video/x-raw,width=640,height=480,framerate=30/1 ! decodebin ! glupload ! glvideoflip video-direction=identity ! tee name=t t. ! queue max-size-buffers=1 leaky=downstream ! freezer name=freezer ! glsvgoverlaysink name=overlaysink t. ! queue max-size-buffers=1 leaky=downstream ! glfilterbin filter=glbox name=glbox ! video/x-raw,format=RGB,width=641,height=481 ! appsink name=appsink emit-signals=true max-buffers=1 drop=true
(pose_camera.py:4175): Gtk-CRITICAL **: 02:29:02.758: _gtk_style_provider_private_get_settings: assertion 'GTK_IS_STYLE_PROVIDER_PRIVATE (provider)' failed
(pose_camera.py:4175): Gtk-CRITICAL **: 02:29:02.758: _gtk_style_provider_private_get_settings: assertion 'GTK_IS_STYLE_PROVIDER_PRIVATE (provider)' failed
(pose_camera.py:4175): Gtk-CRITICAL **: 02:29:02.758: _gtk_style_provider_private_get_settings: assertion 'GTK_IS_STYLE_PROVIDER_PRIVATE (provider)' failed Segmentation fault
Closer ! simple_pose.py works now but pose_camera.py is not happy about the input size ValueError: input size=925444, expected=924963.
mendel@k3s-tpu-04:~/project-posenet$ python3 simple_pose.py Inference time: 19 ms
Pose Score: 0.60673916 KeypointType.NOSE x=210 y=152 score=1.0 KeypointType.LEFT_EYE x=223 y=138 score=1.0 KeypointType.RIGHT_EYE x=199 y=137 score=1.0 KeypointType.LEFT_EAR x=244 y=135 score=1.0 KeypointType.RIGHT_EAR x=183 y=129 score=0.8 KeypointType.LEFT_SHOULDER x=269 y=169 score=0.8 KeypointType.RIGHT_SHOULDER x=160 y=174 score=1.0 KeypointType.LEFT_ELBOW x=281 y=255 score=0.6 KeypointType.RIGHT_ELBOW x=153 y=253 score=0.9 KeypointType.LEFT_WRIST x=237 y=332 score=0.6 KeypointType.RIGHT_WRIST x=163 y=304 score=0.5 KeypointType.LEFT_HIP x=261 y=317 score=0.1 KeypointType.RIGHT_HIP x=173 y=309 score=0.1 KeypointType.LEFT_KNEE x=223 y=339 score=0.3 KeypointType.RIGHT_KNEE x=200 y=342 score=0.3 KeypointType.LEFT_ANKLE x=186 y=407 score=0.1 KeypointType.RIGHT_ANKLE x=188 y=410 score=0.2
Pose Score: 0.54908466 KeypointType.NOSE x=400 y=145 score=1.0 KeypointType.LEFT_EYE x=418 y=129 score=1.0 KeypointType.RIGHT_EYE x=383 y=127 score=1.0 KeypointType.LEFT_EAR x=458 y=110 score=0.9 KeypointType.RIGHT_EAR x=371 y=121 score=0.2 KeypointType.LEFT_SHOULDER x=496 y=168 score=1.0 KeypointType.RIGHT_SHOULDER x=361 y=150 score=0.8 KeypointType.LEFT_ELBOW x=463 y=291 score=1.0 KeypointType.RIGHT_ELBOW x=331 y=245 score=0.8 KeypointType.LEFT_WRIST x=340 y=305 score=0.9 KeypointType.RIGHT_WRIST x=234 y=332 score=0.5 KeypointType.LEFT_HIP x=485 y=312 score=0.1 KeypointType.RIGHT_HIP x=364 y=327 score=0.1 KeypointType.LEFT_KNEE x=470 y=336 score=0.0 KeypointType.RIGHT_KNEE x=245 y=329 score=0.1 KeypointType.LEFT_ANKLE x=444 y=381 score=0.0 KeypointType.RIGHT_ANKLE x=188 y=410 score=0.2
mendel@k3s-tpu-04:~/project-posenet$ python3 pose_camera.py /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: Gst was imported without specifying a version first. Use gi.require_version('Gst', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: GstBase was imported without specifying a version first. Use gi.require_version('GstBase', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: GstVideo was imported without specifying a version first. Use gi.require_version('GstVideo', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/project-posenet/gstreamer.py:15: PyGIWarning: Gtk was imported without specifying a version first. Use gi.require_version('Gtk', '3.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk Loading model: models/mobilenet/posenet_mobilenet_v1_075_481_641_quant_decoder_edgetpu.tflite Detected Edge TPU dev board. Gstreamer pipeline: v4l2src device=/dev/video0 ! video/x-raw,width=640,height=480,framerate=30/1 ! decodebin ! glupload ! glvideoflip video-direction=identity ! tee name=t t. ! queue max-size-buffers=1 leaky=downstream ! freezer name=freezer ! glsvgoverlaysink name=overlaysink t. ! queue max-size-buffers=1 leaky=downstream ! glfilterbin filter=glbox name=glbox ! video/x-raw,format=RGB,width=641,height=481 ! appsink name=appsink emit-signals=true max-buffers=1 drop=true
Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python3.7/threading.py", line 917, in _bootstrap_inner self.run() File "/usr/lib/python3.7/threading.py", line 865, in run self._target(*self._args, **self._kwargs) File "/home/mendel/project-posenet/gstreamer.py", line 180, in inference_loop output = self.inf_callback(input_tensor) File "pose_camera.py", line 148, in run_inference return engine.run_inference(input_tensor) File "/home/mendel/project-posenet/pose_engine.py", line 96, in run_inference edgetpu.run_inference(self._interpreter, input_data) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 169, in run_inference _check_input_size(memory.size, expected_input_size) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 141, in _check_input_size input_size, expected_input_size)) ValueError: input size=925444, expected=924963.
I got here too after connecting the output:
python3 pose_camera.py /home/mendel/p2/project-posenet/gstreamer.py:15: PyGIWarning: Gst was imported without specifying a version first. Use gi.require_version('Gst', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/p2/project-posenet/gstreamer.py:15: PyGIWarning: GstBase was imported without specifying a version first. Use gi.require_version('GstBase', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/p2/project-posenet/gstreamer.py:15: PyGIWarning: GstVideo was imported without specifying a version first. Use gi.require_version('GstVideo', '1.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk /home/mendel/p2/project-posenet/gstreamer.py:15: PyGIWarning: Gtk was imported without specifying a version first. Use gi.require_version('Gtk', '3.0') before import to ensure that the right version gets loaded. from gi.repository import GLib, GObject, Gst, GstBase, GstVideo, Gtk Loading model: models/mobilenet/posenet_mobilenet_v1_075_481_641_quant_decoder_edgetpu.tflite Detected Edge TPU dev board. Gstreamer pipeline: v4l2src device=/dev/video0 ! video/x-raw,width=640,height=480,framerate=30/1 ! decodebin ! glupload ! glvideoflip video-direction=identity ! tee name=t t. ! queue max-size-buffers=1 leaky=downstream ! freezer name=freezer ! glsvgoverlaysink name=overlaysink t. ! queue max-size-buffers=1 leaky=downstream ! glfilterbin filter=glbox name=glbox ! video/x-raw,format=RGB,width=641,height=481 ! appsink name=appsink emit-signals=true max-buffers=1 drop=true
Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python3.7/threading.py", line 917, in _bootstrap_inner self.run() File "/usr/lib/python3.7/threading.py", line 865, in run self._target(*self._args, **self._kwargs) File "/home/mendel/p2/project-posenet/gstreamer.py", line 180, in inference_loop output = self.inf_callback(input_tensor) File "pose_camera.py", line 148, in run_inference return engine.run_inference(input_tensor) File "/home/mendel/p2/project-posenet/pose_engine.py", line 96, in run_inference edgetpu.run_inference(self._interpreter, input_data) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 169, in run_inference _check_input_size(memory.size, expected_input_size) File "/usr/lib/python3/dist-packages/pycoral/utils/edgetpu.py", line 141, in _check_input_size input_size, expected_input_size)) ValueError: input size=925444, expected=924963.
Sorry guys, I forgot to push some important changes :) https://github.com/Namburger/project-posenet please do a git pull and try again, I'm traveling the first few days of this week and forgot my tpu at home so I can't really test this, but I'll try to get this repo fixed as soon as I get back!
Sorry guys, I forgot to push some important changes :) https://github.com/Namburger/project-posenet please do a git pull and try again, I'm traveling the first few days of this week and forgot my tpu at home so I can't really test this, but I'll try to get this repo fixed as soon as I get back!
It's working now! thank you.
Sorry guys, I forgot to push some important changes :) https://github.com/Namburger/project-posenet please do a git pull and try again, I'm traveling the first few days of this week and forgot my tpu at home so I can't really test this, but I'll try to get this repo fixed as soon as I get back!
@Namburger Does the synthesizer.py work for you with the pycoral one?
Yes synthesizer.py runs. I need to find some speakers to hear if its working. Any way to get audio to default to HDMI output ?
Yes synthesizer.py runs. I need to find some speakers to hear if its working. Any way to get audio to default to HDMI output ?
It also runs for me but I don't hear anything. When it first runs, it does generate some noise but that's about it
Closing the issue as examples got updated with pycoral API.
We have 32 Coral Dev Boards and most of the demos now fail after flashing enterprise-eagle-20200724205123 because edgetpu https://github.com/google-coral/edgetpu has been branded Legacy and replaced by libedgetpu
mendel@k3s-tpu-09:~/project-posenet$ python3 simple_pose.py Traceback (most recent call last): File "simple_pose.py", line 18, in <module> from pose_engine import PoseEngine File "/home/mendel/project-posenet/pose_engine.py", line 20, in <module> from edgetpu import __version__ as edgetpu_version ModuleNotFoundError: No module named 'edgetpu'
Are there any plans to update the example code soon ? Can i substitute libedgetpu easily ?