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umt won't work #26
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Exactly the same problem in Ubuntu as in Raspberry PI OS/Docker. |
I confirm, I have the same problem. |
First you need to locate where your Python packages were installed, then in "deep_sort_tools/generate_detections.py" you need to change these two lines from :
to this:
|
This is referred to the ubuntu installation I would assume, right? By making this change has everything worked correctly afterwards?
|
This is on Ubuntu also - however - the latest UMT code from GitHub have fixed this. I have a NEW issue, bit I will create another thread for that :-) |
These two erranous lines are still there in the docker install. |
This worked for me in RPi OS |
In my case, yes.
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Sent: Monday, October 9, 2023 7:20:25 PM
To: nathanrooy/rpi-urban-mobility-tracker ***@***.***>
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Subject: Re: [nathanrooy/rpi-urban-mobility-tracker] umt won't work (#26)
This is referred to the ubuntu installation I would assume, right? By making this change has everything worked correctly afterwards?
First you need to locate where your Python packages were installed, then in "deep_sort_tools/generate_detections.py" you need to change these two lines from :
self.input_var = tf.compat.v1.get_default_graph().get_tensor_by_name(
f"net/{input_name}:0")
self.output_var = tf.compat.v1.get_default_graph().get_tensor_by_name(
f"net/{output_name}:0")
to this:
self.input_var = tf.compat.v1.get_default_graph().get_tensor_by_name(
f"{input_name}:0")
self.output_var = tf.compat.v1.get_default_graph().get_tensor_by_name(
f"{output_name}:0")
This worked for me in RPi OS
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|
the deep_sort repo updated the version number from v1.2.0 to v1.3.0 and added the For tracking though, you can change this line:
to
|
I followed the instructions at https://github.com/nathanrooy/rpi-urban-mobility-tracker
I'm getting this error:
(The first three lines as apparently just noise)
root@674b2ef1ec82:~# umt -video highway_01.mp4
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.compat.v2.summary API due to missing TensorBoard installation.
WARNING:root:Limited tf.summary API due to missing TensorBoard installation.
Traceback (most recent call last):
File "/usr/local/bin/umt", line 5, in
from umt.umt_main import main
File "/usr/local/lib/python3.7/dist-packages/umt/umt_main.py", line 15, in
from umt.umt_utils import parse_label_map
File "/usr/local/lib/python3.7/dist-packages/umt/umt_utils.py", line 26, in
encoder = gd.create_box_encoder(w_path, batch_size=1)
File "/usr/local/lib/python3.7/dist-packages/deep_sort_tools/generate_detections.py", line 123, in create_box_encoder
image_encoder = ImageEncoder(model_filename, input_name, output_name)
File "/usr/local/lib/python3.7/dist-packages/deep_sort_tools/generate_detections.py", line 97, in init
f"net/{input_name}:0")
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 3902, in get_tensor_by_name
return self.as_graph_element(name, allow_tensor=True, allow_operation=False)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 3726, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py", line 3768, in _as_graph_element_locked
"graph." % (repr(name), repr(op_name)))
KeyError: "The name 'net/images:0' refers to a Tensor which does not exist. The operation, 'net/images', does not exist in the graph."
Coral USB is working in the host os:
[40332.332886] usb 2-2: New USB device strings: Mfr=0, Product=0, SerialNumber=0
pi@pifem:~/coral/tflite/python/examples/classification $ python3 classify_image.py --model
models/mobilenet_v2_1.0_224_inat_bird_quant_edgetpu.tflite --labels models/inat_bird_labels.txt --input images/parrot.jpg
----INFERENCE TIME----
Note: The first inference on Edge TPU is slow because it includes loading the model into Edge TPU memory.
17.4ms
4.4ms
4.4ms
4.4ms
4.4ms
-------RESULTS--------
Ara macao (Scarlet Macaw): 0.77734
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