inception vr

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A tutorial for transactional transaction management using the Python Django framework

reason (for example, by throwing a integrityerror exception but not catching it, all the savepoint will be rolled back) Take a look at the sample code to learn how to play the save point. @transaction. Atomic () def save_points (self,save=true): user = User.create (' JJ ', ' Inception ', ' JJ ', ' 1234 ') SP1 = Transaction.savepoint () user.name = ' Zheli hui Guadiao, t.t ' user.stripe_id = 4 user.save () if Save: transaction.savepoint_c

A tutorial on transactional transaction management using the Python Django framework _python

transaction can be cut into more "lightweight" transactions, and can be partially rolled back or partially committed. But be aware that the entire transaction is being rolled back for nothing (for example, because the Integrityerror exception is thrown but not caught, all of the savepoint will be rolled back) Take a look at the sample code to see how to play the savepoint. @transaction. Atomic () def save_points (self,save=true): user = User.create

Head-mounted Monitor

650) this.width=650; "Src=" http://images2015.cnblogs.com/blog/632554/201606/632554-20160623125127297-1940904720. PNG "style=" border:0px; "/> head display (HMD) is a goggles or helmet-mounted device that allows the user to visually implement VR effects through a built-in display. There are some devices with sensors that track the head. VR header due to its , etc. are difficul

DICOM file format and Programming

. Patient ie:A. Patient module (refer to c.7.1.1)2. Study ie:A. Study Module (refer to c.7.2.1)B. Patient Study Module (refer to c.7.2.2)3. Series ie:A. General series (see c.7.3.1)B. Cr series (see c.8.1. 1)C. General equipment (see c.7.5.1)4. Image ie:A. genrral image (c.7.6.1)B. image pixel (c.7.6.3)C. Contrast/bolus (c.7.6.4)D. CR image (c.8.1.2)...I. SOP common (C.12.1)Find all elements in these modules (tables) and create a CR image architecture.Note that some of these modules are mandator

SSE command Optimization

;Mulps xmm2, xmm0;Movups [eax], xmm2; MoV dword ptr [eax + 12], 3f800000h;}}Else{Float F = (float) SQRT (x * x + y * Y + z * z );If (F! = 0.0f){F = 1.0f/F;X * = f; y * = f; z * = F;}}} // Calculate the cross multiplication using two vectors and save the result to this vector.Void vector: Cross (const vector * pu, const vector * PV){If (g_busesse2){_ ASM{MoV eax, Pu;MoV edX, PV; Movups xmm0, [eax]Movups xmm1, [edX]Movaps xmm2, xmm0Movaps xmm3, xmm1 Shufps xmm0, xmm0, 0xc9Shufps xmm1, xmm1, 0xd2Mu

Flash/flex Study Notes (23): kinematics principles

: ship; private var Vr: Number = 0; private var thrust: Number = 0; private var VX: Number = 0; private var Vy: Number = 0; Public Function shipsim () {Init ();} private function Init (): void {ship = new ship; ship. scalex = ship. scale= 1.5; addchild (SHIP); ship. X = stage. stagewidth/2; ship. y = stage. stageheight/2; addeventlistener (event. enter_frame, enterframehandler); stage. addeventlistener (keyboardevent. key_down, keydownhandler); stage.

Use Baidu map Android sdk's high imitation WeChat sending location function

comment and leave a mailbox)The above is a MapVIew, the covering is fixed in the center, and the white square in the lower left corner of the map is the button to return to the positioning point, because there is no good-looking picture, it is left blankThe following is a listView that displays some location information around the location indicated by the map.Paste the core code to implement this functionActivity Type[Java]View plaincopy Package com.

Efficient 3D graphics Math Library

;}}Else{Float F = (float) SQRT (x * x + y * Y + z * z );If (F! = 0.0f){F = 1.0f/F;X * = f; y * = f; z * = F;}}} // Calculate the cross multiplication using two vectors and save the result to this vector.Void vector: Cross (const vector * pu, const vector * PV){If (g_busesse2){_ ASM{MoV eax, Pu;MoV edX, PV; Movups xmm0, [eax]Movups xmm1, [edX]Movaps xmm2, xmm0Movaps xmm3, xmm1 Shufps xmm0, xmm0, 0xc9Shufps xmm1, xmm1, 0xd2Mulps xmm0, xmm1 Shufps xmm2, xmm2, 0xd2Shufps xmm3, xmm3, 0xc9Mulps xmm2,

[Optimization] efficient 3D graphics mathematical Library

, xmm1 Shufps xmm0, xmm0, 0xc9Shufps xmm1, xmm1, 0xd2Mulps xmm0, xmm1 Shufps xmm2, xmm2, 0xd2Shufps xmm3, xmm3, 0xc9Mulps xmm2, xmm3 Subps xmm0, xmm2 MoV eax, thisMovups [eax], xmm0 MoV [eax + 12], 3f800000h;}}Else{X = pu-> y * PV-> Z-pu-> Z * PV-> Y;Y = pu-> Z * PV-> X-pu-> X * PV-> Z;Z = pu-> X * PV-> Y-pu-> y * PV-> X;W = 1.0f;}} // Operator overloadVoid vector: Operator * = (Matrix M) // potential danger{# Ifdef _ debugAssert (W! = 1.0f W! = 0.0f );# Endif If (g_busesse2){_ ASM{MoV ECx, th

Virtual reality-The human-computer interactive revolution leading to the future _ Microsoft

Book Introduction: The author of this book is Wang Han, Qing Wei Long, Wang Zhaoxiang, Blue Sky Works (according to the book is the domestic and Silicon Valley geek). Earlier this year, I rubbed my classmate's Samsung Gear, feeling very shocked: Holy Shit,this is the future ... Then to the IRC lab experience of Microsoft HoloLens and HTC Vive, that immersive experience is really fascinating. In the spirit of reading magazines from the library to borrow this book, to understand the status of

DICOM: Transfer Syntax: A Query of transmission semantics GE Private TS and dicomsyntax

DICOM: Transfer Syntax: A Query of transmission semantics GE Private TS and dicomsyntaxBackground: Before the columnTransfer Syntax(Tentative Chinese translation isTransmission Semantics,The DICOM3.0 standard Chinese Version open-source book program mentioned in the blog in early August was successfully launched, and many specialized terms translation work will be faced in the future. You are welcome to give your comments.In DICOM medical image processing: Abstract Syntax and Transfer Syntax are

Face Paper:senet Paper Detailed

feeling field to describe the image. However, it is difficult to learn a network with very strong performance, and its difficulties come from many aspects. Recently, a lot of work has been proposed to improve the performance of the network from the dimension of space, such as embedding multi-scale information in Inception structure, aggregating the characteristics of many different fields to obtain the performance gain, and taking the contextual inf

Wunda Deep Learning notes Course4 WEEK2 a deep convolutional network case study

. Increased nonlinearity: maintains the number of convolution cores with the same 1#x00D7;1"> 1x1 1x1 as the original dimension . 6.Inception Network Motivation In the previous CNN we studied, the number of filter, size, pool parameters are to be specified by ourselves, inception can learn parameters to help us automatically choose the best filter,pool combination As shown: we can make a same

Deep learning-from lenet to Densenet

-linear processing, increase the network's non-linear expression ability .(2) The network deepened, the alexnet version.5, Googlenet (2014)Googlenet in 2014 of the Imagenet classification task defeated Vgg-nets won the championship, its strength is certainly very deep, googlenet and alexnet,vgg-nets this simple relying on deepening network structure and improve the network performance of the idea is not the same, It also path, in the deepening of the network (22 layer), as well as innovation in

Parameter calculation of convolution neural network

0 FC1 7x7x512 4096 7x7x512x4096 + 4096 102764544 FC2 4096 4096 4096*4096 + 4096 16781312 FC3 4096 1000 4096*1000 + 1000 4097000 Total Parameters: 138357544parameter memory consumption: 527.7921MB googlenet Googlenet proposed the concept of inception to increase the depth and width of the network and improv

Network Structure--dense and ResNet

Http://berwynzhang.com/2017/06/18/machine_learning/Inception-v4_Inception-ResNet_and_the_Impact_of_Residual_ connection_on_learning/***inception and Skip Connection http://blog.csdn.net/quincuntial/article/details/77263607 ***resnet Translation http://blog.csdn.net/buyi_shizi/article/details/53336192 *****resnet Understanding http://blog.csdn.net/mao_feng/article/details/52734438 https://www.leiphone.co

Image Classification | Deep Learning PK Traditional machine learning

industry for image classification with KNN,SVM,BP neural networks. Gain deep learning experience. Explore Google's machine learning framework TensorFlow. Below is the detailed implementation details. System Design In this project, 5 algorithms for experiments are KNN, SVM, BP Neural Network, CNN and Migration Learning. We used the following three ways to experiment KNN, SVM, BP Neural network is what we can learn in school. Powerful and easy to deploy. So the first step, we mainly use Sklearn t

2015 still awkward virtual reality

In the April 2015, after the March GDC (game Developers Conference) and F8 (the Facebook Developers Conference), VR (virtual reality) continues to be controversial in the tech world. Computer department professors some nine to the sea, recruitment platform on the VR position springing up, young talent (cool kids) VR startups continue to be firm.Young and promisin

Outdoor building performance 3dmax and vray common material parameter settings

the 3D drop.B. The pebbles also have the concave and convex characteristics of the Cultural stone, but their luster is very high, and their reflection is strong. This is the difference between the building and the cultural stone. VR Adjustment Method: 1. Adjust reflection to increase 2 diffuse reflection to blackSand gang Adjustment Method: 1. Adjust the reflectivity 2. Adjust the gloss Mirror: 1 diffuse reflection changed to Black 2 reflection i

Breadth-first search (BFS) Algorithm

popped up, the new queue header is V2 (if the queue is empty at this time, the theorem is true ), therefore, if d [VR] ≤ d [V1] + 1 ≤ d [V2] + 1, the remaining inequality remains true. Therefore, V2 is the topic of the team. To insert a node into the queue, You need to carefully analyze the process BFs. In the 16th rows of BFS, when vertex v joins the queue to become VR + 1, the queue header V1 is actually

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