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client.py
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import sys
import os
import cv2
import numpy as np
import tritonclient.grpc as grpcclient
if sys.version_info.major == 3:
unicode = bytes
def simple_inference(triton_client):
model_name = "image_process"
inputs = []
outputs = []
inputs.append(grpcclient.InferInput("image_path", [2, 1], "BYTES"))
in0n = np.array(
[[os.path.join(os.getcwd(), "test_imgs/600001.jpg")],
[os.path.join(os.getcwd(),"test_imgs/331_1658719903000_01_960_1658719935779.jpg")]],
dtype=np.object_
)
inputs[0].set_data_from_numpy(in0n)
outputs.append(grpcclient.InferRequestedOutput("image"))
results = triton_client.infer(model_name=model_name, inputs=inputs, outputs=outputs)
print(results.as_numpy("image").shape)
images = results.as_numpy("image")
images = np.array(images, dtype=np.float32)
print(images.max(), images.min())
im = images[0, :, :, :]
im1 = images[1, :, :, :]
cv2.imwrite('re1.jpg', im)
cv2.imwrite('re2.jpg', im1)
if __name__ == "__main__":
triton_client = grpcclient.InferenceServerClient(
url="localhost:8001", verbose=False
)
simple_inference(triton_client)