deepface/api/deepface-api.postman_collection.json

{
	"info": {
		"_postman_id": "4c0b144e-4294-4bdd-8072-bcb326b1fed2",
		"name": "deepface-api",
		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
	},
	"item": [
		{
			"name": "Represent",
			"request": {
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "{\n  \"model_name\": \"Facenet\",\n  \"img\": \"/Users/sefik/Desktop/deepface/tests/dataset/img1.jpg\"\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://127.0.0.1:5000/represent",
					"protocol": "http",
					"host": [
						"127",
						"0",
						"0",
						"1"
					],
					"port": "5000",
					"path": [
						"represent"
					]
				}
			},
			"response": []
		},
		{
			"name": "Face verification",
			"request": {
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "  {\n  \t\"img1_path\": \"/Users/sefik/Desktop/deepface/tests/dataset/img1.jpg\",\n    \"img2_path\": \"/Users/sefik/Desktop/deepface/tests/dataset/img2.jpg\",\n    \"model_name\": \"Facenet\",\n    \"detector_backend\": \"mtcnn\",\n    \"distance_metric\": \"euclidean\"\n  }",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://127.0.0.1:5000/verify",
					"protocol": "http",
					"host": [
						"127",
						"0",
						"0",
						"1"
					],
					"port": "5000",
					"path": [
						"verify"
					]
				}
			},
			"response": []
		},
		{
			"name": "Face analysis",
			"request": {
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "{\n    \"img_path\": \"/Users/sefik/Desktop/deepface/tests/dataset/couple.jpg\",\n    \"actions\": [\"age\", \"gender\", \"emotion\", \"race\"]\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://127.0.0.1:5000/analyze",
					"protocol": "http",
					"host": [
						"127",
						"0",
						"0",
						"1"
					],
					"port": "5000",
					"path": [
						"analyze"
					]
				}
			},
			"response": []
		}
	]
}