讀左7年物理,你問題我答

依家主流係咪用python 去做解物理問題？

我仲有fd寫fortan

C++同python方便好多,UG會用matlab同mathematica多d

而家仲有人用fortran?

fortran計大型Simulation仲快過C++,根據我個fd講

Thermodynamic 可以點溫 有冇咩係要特別留意/要記得？

咩叫ai公司

人工智能

下個月完PG master,已經有AI公司請左

AI公司請咩人多

識打code,有相關經驗識得deploy既IT狗

點ai法，if then else tree search都可以叫ai

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

依家主流係咪用python 去做解物理問題？

matlab貴又慢
C++ 快但debug麻煩
python有c wrapping又快又好打

GUI系統有pyQt同matplotlib

下個月完PG master,已經有AI公司請左

AI公司請咩人多

識打code,有相關經驗識得deploy既IT狗

點ai法，if then else tree search都可以叫ai

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

應該叫optical flow掛,又同傳統optical flow完全唔同解法

你train好個net再用GPU解會快好多,FPS睇你個net深度同圖像大細

想快可以reduce size/ multiresolution計去達到快而準

點睇觀察者效應 雙縫實驗
利申: form 4 physics fail

點解地鐵郁緊果陣
我跳起個人唔會向後移

利申: 無讀過物理

點睇觀察者效應 雙縫實驗
利申: form 4 physics fail

wavefunction collapse,呢樣野有7個可能的解,太深同太哲學好難三言兩語解

你當係observer同個system 互相影響啦

依家主流係咪用python 去做解物理問題？

我仲有fd寫fortan

C++同python方便好多,UG會用matlab同mathematica多d

而家仲有人用fortran?

識打code,有相關經驗識得deploy既IT狗

點ai法，if then else tree search都可以叫ai

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

應該叫optical flow掛,又同傳統optical flow完全唔同解法

你train好個net再用GPU解會快好多,FPS睇你個net深度同圖像大細

想快可以reduce size/ multiresolution計去達到快而準

有冇做過non dnn的vision

dse phy 難唔難

唔難但2年半學曬個量有d多

點睇校園台個鏗哥

無睇過

識打code,有相關經驗識得deploy既IT狗

點ai法，if then else tree search都可以叫ai

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

應該叫optical flow掛,又同傳統optical flow完全唔同解法

你train好個net再用GPU解會快好多,FPS睇你個net深度同圖像大細

想快可以reduce size/ multiresolution計去達到快而準

有冇做過non dnn的vision

我係non DNN學起,DNN只係CV其中一件工具,non DNN有時效果會更好

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

應該叫optical flow掛,又同傳統optical flow完全唔同解法

你train好個net再用GPU解會快好多,FPS睇你個net深度同圖像大細

想快可以reduce size/ multiresolution計去達到快而準

有冇做過non dnn的vision

我係non DNN學起,DNN只係CV其中一件工具,non DNN有時效果會更好

可唔可以講下你點由physic 轉做cv

依家主流係咪用python 去做解物理問題？

睇做咩field
之前天文要用machine learning既就用python,particle/nuclear計算量大就用c++,而家做material要visualize d野就用matlab

Python係咪最易入門？
我淨係知python 最方便，唔洗錢官網download就係

AL個陣除左phy仲有讀咩科？

樓主 想請教下
由changing electric/magnetic field 產生既electric magnetic field既形狀係由咩決定 我知正路係concentric circles

但其實ampere's law 同faraday's law 只係比左個field既一個特性 就係個line integral一定要等於某個數值 但佢冇規定係咩形狀

我有呢個問題係因為我見用plane electromagnetic waves黎驗證maxwells equation 佢個個induced field形狀唔係circle

Deep learning in computer vision, video 同still shot都要做,認下物件做下object tracking咁

同行wo

不過我唔係做deep learning

Dnn可以做tracking

sementic segmentation + feature matching
or 直接出motion vector image

Motion vector image即係optical flow?

咁做會唔Fps好低

不過巴打用得dnn應該唔係做real time processing


Btw, 巴打係唔做nvidia/Lenovo research lab/應科院個類公司，

應該叫optical flow掛,又同傳統optical flow完全唔同解法

你train好個net再用GPU解會快好多,FPS睇你個net深度同圖像大細

想快可以reduce size/ multiresolution計去達到快而準

有冇做過non dnn的vision

我係non DNN學起,DNN只係CV其中一件工具,non DNN有時效果會更好

可唔可以講下你點由physic 轉做cv

轉左去medical imaging做科研,邊讀邊學coding d野

medical同普通CV個方法係一樣,不過係single channel同3D

依家主流係咪用python 去做解物理問題？

睇做咩field
之前天文要用machine learning既就用python,particle/nuclear計算量大就用c++,而家做material要visualize d野就用matlab

Python係咪最易入門？
我淨係知python 最方便，唔洗錢官網download就係

用anaconda啦

AL個陣除左phy仲有讀咩科？

AL applied maths同pure maths,中英文