api moved to different project

api/DeepFaceApi.py

@@ -1,120 +0,0 @@
-from flask import Flask, jsonify, request, make_response
-
-import uuid
-import json
-import time
-
-from deepface import DeepFace
-from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
-
-#------------------------------
-
-app = Flask(__name__)
-
-#------------------------------
-#Service API Interface
-
-@app.route('/analyze', methods=['POST'])
-def analyze():
-
-	req = request.get_json()
-	trx_id = uuid.uuid4()
-
-	#---------------------------
-
-	tic = time.time()
-
-	instances = []
-	if "img" in list(req.keys()):
-		raw_content = req["img"] #list
-
-		for item in raw_content: #item is in type of dict
-			instances.append(item)
-	
-	if len(instances) == 0:
-		return jsonify({'success': False, 'error': 'you must pass at least one img object in your request'}), 205
-	
-	print("Analyzing ", len(instances)," instances")
-
-	#---------------------------
-
-	actions= ['emotion', 'age', 'gender', 'race']
-	if "actions" in list(req.keys()):
-		actions = req["actions"]
-	
-	#---------------------------
-
-	resp_obj = DeepFace.analyze(instances, actions=actions)
-	
-	#---------------------------
-
-	#resp_obj = json.loads("{\"success\": true}")
-
-	toc = time.time()
-
-	resp_obj["trx_id"] = trx_id
-	resp_obj["seconds"] = toc-tic
-
-	return resp_obj
-
-@app.route('/verify', methods=['POST'])
-
-def verify():
-
-	req = request.get_json()
-	trx_id = uuid.uuid4()
-
-	tic = time.time()
-	
-	#-------------------------
-	
-	model_name = "VGG-Face"; distance_metric = "cosine"
-	if "model_name" in list(req.keys()):
-		model_name = req["model_name"]
-	if "distance_metric" in list(req.keys()):
-		distance_metric = req["distance_metric"]
-	
-	instances = []
-	if "img" in list(req.keys()):
-		raw_content = req["img"] #list
-
-		for item in raw_content: #item is in type of dict
-			instance = []
-			img1 = item["img1"]; img2 = item["img2"]
-
-			validate_img1 = False
-			if len(img1) > 11 and img1[0:11] == "data:image/":
-				validate_img1 = True
-			
-			validate_img2 = False
-			if len(img2) > 11 and img2[0:11] == "data:image/":
-				validate_img2 = True
-
-			if validate_img1 != True or validate_img2 != True:
-				return jsonify({'success': False, 'error': 'you must pass both img1 and img2 as base64 encoded string'}), 205
-
-			instance.append(img1); instance.append(img2)
-			instances.append(instance)
-		
-	#--------------------------
-
-	if len(instances) == 0:
-		return jsonify({'success': False, 'error': 'you must pass at least one img object in your request'}), 205
-	
-	print("Input request of ", trx_id, " has ",len(instances)," pairs to verify")
-	
-	#--------------------------
-	resp_obj = DeepFace.verify(instances, model_name = model_name, distance_metric = distance_metric)
-
-	toc =  time.time()
-
-	resp_obj["trx_id"] = trx_id
-	resp_obj["seconds"] = toc-tic
-
-	#--------------------------
-	
-	return resp_obj, 200
-
-if __name__ == '__main__':
-	
-	app.run()