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*.json | ||
*.onnx | ||
*.drawio | ||
/dev/ | ||
/frontend_python/ | ||
/dev_gitignored/ | ||
!frontend_python/make_request_local.py |
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import requests | ||
import json | ||
import interface_utils as utils | ||
import time, os | ||
import glob | ||
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# Define the URL of the endpoint: http://fewshotsam.rootvisionai.net | ||
base = "localhost:8080" | ||
url = f"http://{base}/extract_features" # replace with your actual endpoint | ||
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# make get request | ||
if "http" in url: | ||
response = os.system(f"curl --request GET http://{base}/health") | ||
print(response) | ||
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# Convert json to dict | ||
with open("request_content.json", "r") as fp: | ||
data_json = json.load(fp) | ||
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# Set the headers for the request | ||
headers = { | ||
"Content-Type": "application/json" | ||
} | ||
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# Send the POST request | ||
t0 = time.time() | ||
response = requests.post(url, data=json.dumps(data_json), headers=headers) | ||
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t1 = time.time() | ||
print(response.text) | ||
data_json = json.loads(response.text) | ||
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# Query Images: Load, extract, match | ||
cfg_data_result_dir = "./results/" | ||
cfg_data_query_dir = "./query_images/" | ||
cfg_data_format = "jpg" | ||
q_image_paths = glob.glob(os.path.join(cfg_data_query_dir, f"*.{cfg_data_format}")) | ||
q_image_paths += glob.glob(os.path.join(cfg_data_query_dir, "**", f"*.{cfg_data_format}")) | ||
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for cnt, qip in enumerate(q_image_paths): | ||
image_path = qip | ||
image_filename = os.path.basename(image_path).split(".")[0] | ||
data_json["image_path"] = image_path | ||
init_image = utils.import_image(image_path) | ||
data_json["image"] = utils.numpy_to_base64(init_image) | ||
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# Print the response | ||
try: | ||
print(data_json["error"] if "error" in data_json.keys() else data_json.keys()) | ||
except: | ||
print(data_json) | ||
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# Define the URL of the endpoint | ||
url = f"http://{base}/generate/all" | ||
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# Send the POST request | ||
t1 = time.time() | ||
response = requests.post(url, data=json.dumps(data_json), headers=headers) | ||
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t2 = time.time() | ||
data_json = json.loads(response.text) | ||
masks = utils.get_image(data_json["masks"]) | ||
masks.save(cfg_data_result_dir+f"masks_{image_filename}.png") | ||
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# Print the response | ||
try: | ||
print(data_json["error"] if "error" in data_json.keys() else data_json.keys()) | ||
except: | ||
print(data_json) | ||
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# save annotation | ||
with open(cfg_data_query_dir+f"{image_filename}.json", "w") as fp: | ||
json.dump(data_json["coco_json"], fp, indent=4) | ||
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# save pascal_xml | ||
with open(cfg_data_query_dir+f"{image_filename}.xml", "w", encoding="utf-8") as fp: | ||
fp.write(str(data_json["pascal_xml"])) | ||
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print(f"Request.1 Time: {t1-t0} | Request.2 Time: {t2-t1}") | ||
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0.0.3 | ||
0.0.4 |