Face Detection Documentation: Points of face detecting we have got from Face++ api: {"face":[{"position":{"mouth_right":{"y":74.366209,"x":68.715461},"mouth_left":{"y":73.759341,"x":33.587829},"center":{"y":53.846154,"x":47.039474},"height":66.483516,"width":79.605263,"nose":{"y":54.300549,"x":54.795724},"eye_left":{"y":40.800275,"x":29.733618},"eye_right":{"y":40.175549,"x":73.378289}},"attribute":{"race":{"value":"Black","confidence":92.0466},"gender":{"value":"Male","confidence":59.9017},"smiling":{"value":7.72864},"age":{"value":23,"range":5}},"tag":"","face_id":"d39aec8234a83180652729e39f4ad239"}],"session_id":"9b77dba935c04da29b4960253238ee7b","img_height":364,"img_width":304,"img_id":"264cd4b2b2a02e52686d4963d4abcc78","url":null,"response_code":200}
Points of face landmarks we have got from Face++ api: (83 – points) {"result":[{"landmark":{"nose_contour_left1":{"y":40.322527,"x":46.971711},"nose_contour_left2":{"y":51.689286,"x":42.304605},"left_eyebrow_lower_middle":{"y":29.893681,"x":27.928421},"nose_contour_left3":{"y":61.255495,"x":45.350987},"mouth_upper_lip_left_contour1":{"y":68.393956,"x":46.617763},"mouth_upper_lip_left_contour2":{"y":70.636264,"x":39.376974},"left_eye_top":{"y":38.044231,"x":30.79375},"right_eye_upper_left_quarter":{"y":38.100275,"x":69.229276},"right_eye_bottom":{"y":42.889835,"x":74.128289},"nose_contour_lower_middle":{"y":61.963736,"x":53.61875},"right_eyebrow_lower_right_quarter":{"y":30.435165,"x":83.706579},"mouth_upper_lip_left_contour3":{"y":73.381044,"x":43.890132},"left_eyebrow_upper_left_quarter":{"y":27.620055,"x":19.771086},"left_eyebrow_lower_right_quarter":{"y":29.865659,"x":35.326974},"left_eye_upper_left_quarter":{"y":39.020055,"x":25.757039},"nose_contour_right1":{"y":40.429945,"x":59.058553},"left_eye_upper_right_quarter":{"y":38.21978,"x":35.85625},"nose_contour_right2":{"y":50.931593,"x":62.777961},"nose_contour_right3":{"y":60.931868,"x":61.372039},"mouth_upper_lip_right_contour1":{"y":68.201923,"x":56.894737},"mouth_upper_lip_right_contour2":{"y":70.727747,"x":63.985197},"mouth_upper_lip_right_contour3":{"y":73.962088,"x":60.839474},"left_eyebrow_left_corner":{"y":32.225,"x":14.979342},"left_eye_lower_right_quarter":{"y":41.896978,"x":35.854605},"mouth_lower_lip_right_contour3":{"y":81.484615,"x":57.479276},"nose_left":{"y":58.018956,"x":38.264803},"mouth_lower_lip_right_contour1":{"y":75.378297,"x":60.175987},"left_eye_center":{"y":40.40522,"x":30.780263},"right_eye_lower_right_quarter":{"y":42.446154,"x":79.754934},"mouth_lower_lip_right_contour2":{"y":78.571429,"x":64.166776},"nose_right":{"y":58.532967,"x":67.200329},"left_eyebrow_right_corner":{"y":29.567033,"x":42.593421},"right_eye_lower_left_quarter":{"y":42.09011,"x":68.587171},"right_eye_top":{"y":38.042308,"x":74.471053},"left_eye_right_corner":{"y":40.734615,"x":41.136842},"right_eyebrow_right_corner":{"y":32.459615,"x":88.472697},"mouth_upper_lip_top":{"y":69.398077,"x":52.553618},"right_eye_right_corner":{"y":41.127198,"x":83.821382},"contour_left8":{"y":94.301648,"x":29.941546},"contour_left9":{"y":97.99533,"x":40.155921},"left_eye_left_corner":{"y":40.913736,"x":20.508783},"left_eye_bottom":{"y":43.01456,"x":31.081678},"left_eyebrow_lower_left_quarter":{"y":30.730495,"x":21.196645},"contour_left4":{"y":66.093132,"x":9.469934},"contour_left5":{"y":74.117033,"x":11.642401},"contour_left6":{"y":81.589011,"x":16.217895},"mouth_upper_lip_bottom":{"y":74.31511,"x":51.909868},"contour_left7":{"y":88.627473,"x":21.964211},"contour_right6":{"y":81.210165,"x":82.916776},"contour_right5":{"y":73.57033,"x":87.513158},"contour_left1":{"y":40.811264,"x":5.113257},"right_eye_upper_right_quarter":{"y":38.789011,"x":79.299342},"contour_right4":{"y":65.780769,"x":89.805263},"contour_left2":{"y":49.685714,"x":5.923684},"mouth_right_corner":{"y":74.988462,"x":68.349342},"contour_right3":{"y":57.753022,"x":91.630592},"contour_left3":{"y":57.555495,"x":6.841678},"contour_right2":{"y":48.950275,"x":92.596711},"contour_chin":{"y":100.025275,"x":50.968421},"contour_right1":{"y":41.105495,"x":92.566447},"right_eyebrow_lower_middle":{"y":29.835989,"x":76.576645},"right_eyebrow_upper_middle":{"y":25.967308,"x":77.121711},"nose_tip":{"y":54.917308,"x":54.333553},"right_eye_left_corner":{"y":40.574176,"x":63.897697},"mouth_lower_lip_top":{"y":75.324451,"x":51.451974},"right_eyebrow_upper_left_quarter":{"y":26.607555,"x":70.353618},"right_eye_center":{"y":40.392857,"x":74.245066},"mouth_lower_lip_left_contour2":{"y":77.772527,"x":38.714474},"left_eye_lower_left_quarter":{"y":42.235989,"x":25.337928},"mouth_lower_lip_left_contour3":{"y":81.247527,"x":43.575},"left_eyebrow_upper_middle":{"y":26.330797,"x":27.599507},"left_eye_pupil":{"y":39.95,"x":30.764704},"mouth_lower_lip_left_contour1":{"y":74.512363,"x":42.977961},"right_eyebrow_left_corner":{"y":29.57033,"x":63.605921},"right_eye_pupil":{"y":39.920055,"x":73.736513},"right_eyebrow_upper_right_quarter":{"y":27.259396,"x":84.755592},"mouth_left_corner":{"y":74.549725,"x":34.038487},"left_eyebrow_upper_right_quarter":{"y":26.823571,"x":35.368421},"contour_right7":{"y":87.898077,"x":77.287829},"contour_right8":{"y":94.260165,"x":70.356908},"contour_right9":{"y":98.337363,"x":61.456579},"mouth_lower_lip_bottom":{"y":82.245604,"x":50.382895},"right_eyebrow_lower_left_quarter":{"y":29.895055,"x":70.404605}},"face_id":"d39aec8234a83180652729e39f4ad239"}],"session_id":"bbb6f573ab414de8b7e1816deeb846e1","response_code":200}

hello Virendra
If you look at it from image processing point of view, it's small or big one different segmentation algorithms for each points. Though it feels like few organs from human perspective. Every small thing does take time to code effective filter for each targeted object point.
No Verendra, there is no any confusion from that docs. In fact its gives better for-side about the concept.

Hello Virendra,
I had considered all those following points for which budget will be way far above $1500 what I had text you last time by considering your few points(Face landmark: Eye points, Nose points, lips points.) for $1500.Please correct me if I am wrong.

83 points. I think after looking at the document you have given the budget.
Can you please reconfirm.

Thanks,
Virendra

On Thu, Jun 5, 2014 at 1:05 PM, AMOL K via Elance <

E57162610-WR@workroom.elance.com> wrote:

>
>

Yesterday
4:11 pm

AMOL K.

With Complete due Respect Virendra.
This is the best deal you can have for $600. and you may complete the rest from some one else for few more $$$.
I regret Virendra that I am no where nearer to your budget and hence will not willing to ask to stretch your budget my friend.Last time I was very much sure about your these point for $1500
_________________________________________________________________
"Amol,
Here is what I am looking for. Here are the steps:
1> Upload image to the server (from mobile app)
2> Your code will detect and recognize the face and return the following values
3> Face detection: Image ID, Face width, Face height
4> Face landmark: Eye points, Nose points, lips points.

Can you please tell me estimate cost for this project.

Thanks.
_________________________________________________________________
But now the points are 83 this time.So budget will not be that will not be $1500 but definately some what more.

Best Regards

Amol khade

Yesterday
4:05 pm

Client

Amol,
Last time you offered $1500. Can you do it for $1000? I am getting it for
$600, but it has 68 points rather than all 83 points.

Thanks,
Virendra

On Thu, Jun 5, 2014 at 12:50 PM, AMOL K via Elance <

E57162610-WR@workroom.elance.com> wrote:

>
>

Yesterday
3:56 pm

AMOL K.

Hi Virendra,
I had read your document,
Finds not much of challenge but still I want some more time to study it bit more and I will revert back to you within 24 hours. Don't worry at first all points are very much possible to detect. Just to know from your side before I should go for real time evaluation for 83 point, if you don't mine may i know whats your budget Virendra?

Thanks & Regards

Amol Khade

Yesterday
3:50 pm

Client

Hi Amol,
Thanks for the response. The server here is very fast. Also see the attached document and please confirm that you can provide all the 83 points as provided in landmark and also face detection points. Can you also let me know in which language you will write the code?

Thanks,
Virendra

^{Face_Detectionlandmark_Documentation.doc}

Yesterday
2:00 pm

AMOL K.

Hello Virendra,
As its depends upon the server processing ability but any decent server can process the Image within 1-2 seconds as its not much of complex processing you need and the rest of time is for client server communication.

Regards
Amol Khade

Yesterday
9:47 am

Client

Hi Amol,
How are you? Do you have any idea how fast the response for server based code? I am looking for response in couple of seconds.