Hi,
I am trying to run the Hailo Emulator using the data from the tutorial with the code below. It works with DFC 3.25, but with 3.26 and later it gives an error and doesn’t work.
How should I fix my code?
Code:
from hailo_sdk_client import ClientRunner
model_name = 'resnet_v1_18'
ckpt_path = '../models/resnet_v1_18.ckpt'
start_node = 'resnet_v1_18/conv1/Pad'
end_node = 'resnet_v1_18/predictions/Softmax'
chosen_hw_arch = 'hailo8'
runner = ClientRunner(hw_arch=chosen_hw_arch)
hn, npz = runner.translate_tf_model(ckpt_path, model_name, start_node_names=[start_node], end_node_names=[end_node])
from hailo_sdk_client import InferenceContext
import numpy as np
import glob
import cv2
TOTAL = len(glob.glob("../data/*.jpg"))
input_shape = (1, 224, 224, 3)
input_dtype = np.float32
input_data_0 = np.zeros(
(TOTAL, input_shape[1], input_shape[2], input_shape[3])
).astype(input_dtype)
files = sorted(glob.glob("../data/*.jpg"))
for i, file in enumerate(files):
img = cv2.imread(file)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
image = (
cv2.resize(img, (input_shape[1], input_shape[2]))
.astype(input_dtype)
)
input_data_0[i] = ((image - [123.675, 116.28, 103.53]) / [58.395, 57.12, 57.375])
# Infer an image with the Hailo Emulator
with runner.infer_context(InferenceContext.SDK_FP_OPTIMIZED) as ctx:
result = runner.infer(ctx, input_data_0)
print(np.argmax(result, axis=1))
np.save('label.npy', result)
Messages:
Traceback (most recent call last):
File "/work/venv/lib/python3.10/site-packages/hailo_tutorials/notebooks/tmp.py", line 40, in <module>
result = runner.infer(ctx, input_data_0)
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_common/states/states.py", line 16, in wrapped_func
return func(self, *args, **kwargs)
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_client/runner/client_runner.py", line 299, in infer
return self._infer_emulator(data, data_count, batch_size, context)
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_client/runner/client_runner.py", line 318, in _infer_emulator
return self._sdk_backend.acceleras_inference(dataset=dataset,
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_client/sdk_backend/sdk_backend.py", line 977, in acceleras_inference
model = self.build_acceleras_model(context)
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_client/sdk_backend/sdk_backend.py", line 750, in build_acceleras_model
hn_data = self.get_hn_fp_dict()
File "/work/venv/lib/python3.10/site-packages/hailo_sdk_client/sdk_backend/sdk_backend.py", line 120, in get_hn_fp_dict
model_copy = self.fp_model.from_parsed_hn(self.fp_model.to_hn(self.fp_model.name, json_dump=False))
AttributeError: 'NoneType' object has no attribute 'from_parsed_hn'