From 4c802429213c24a756c0ebea84edffb45d25cd67 Mon Sep 17 00:00:00 2001 From: unknown Date: Tue, 8 Dec 2020 09:51:38 +0530 Subject: [PATCH 1/3] deleted py file --- .gitignore | 1 + Get-elements.py | 130 --------------------------------------- Get-rotation.py | 88 -------------------------- Get-weightandtemp.py | 96 ----------------------------- Getaddsorptionline.py | 68 --------------------- Getspectrumdata.py | 23 ------- get-speed.py | 139 ------------------------------------------ 7 files changed, 1 insertion(+), 544 deletions(-) create mode 100644 .gitignore delete mode 100644 Get-elements.py delete mode 100644 Get-rotation.py delete mode 100644 Get-weightandtemp.py delete mode 100644 Getaddsorptionline.py delete mode 100644 Getspectrumdata.py delete mode 100644 get-speed.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..40bca31 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +/env \ No newline at end of file diff --git a/Get-elements.py b/Get-elements.py deleted file mode 100644 index 68d6f83..0000000 --- a/Get-elements.py +++ /dev/null @@ -1,130 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt - -img1 = cv2.imread('Gstar.png') -img=cv2.medianBlur(img1,7) -hsv = cv2.cvtColor(img1, cv2.COLOR_BGR2HSV) -print hsv.shape -#cv2.namedWindow('img', cv2.WINDOW_NORMAL) -#cv2.namedWindow('graph', cv2.WINDOW_NORMAL) -print "starting frequency" -start=input() -print "Final frequency" -end=input() -adlinesfinal=[] -specgraph = np.zeros(img.shape, np.uint8) -adred=[] -adblue=[] -adgreen=[] -wavelength=[] -for i in range (3,img.shape[1]-3): - redval=img[0,i,2] - redhieght=(redval*181)/255 - greenval=img[0,i,1] - greenhieght=(greenval*181)/255 - blueval=img[0,i,0] - bluehieght=(blueval*181)/255 - redprevdif=int(img[0,i,2])-int(img[0,i-3,2]) - redaheadvdif=int(img[0,i,2])-int(img[0,i+3,2]) - greenprevdif=int(img[0,i,1])-int(img[0,i-3,1]) - greenaheadvdif=int(img[0,i,1])-int(img[0,i+3,1]) - blprevdif=int(img[0,i,0])-int(img[0,i-3,0]) - blaheadvdif=int(img[0,i,0])-int(img[0,i+3,0]) - - y=0 - if redprevdif < y and redaheadvdif < y: - adred.append(i) - #adred.append(i+1) - #adred.append(i+2) - #adred.append(i-1) - #adred.append(i-2) - - if greenprevdif < y and greenaheadvdif < y: - adgreen.append(i) - #adgreen.append(i+1) - #adgreen.append(i+2) - #adgreen.append(i-1) - #adgreen.append(i-2) - - - if blprevdif < y and blaheadvdif < y: - adblue.append(i) - #adblue.append(i+1) - #adblue.append(i+2) - #adblue.append(i-1) - #adblue.append(i-2) - - specgraph = cv2.circle(specgraph,(i,181-redhieght), 1, (0,0,255), -1) - specgraph = cv2.circle(specgraph,(i,181-greenhieght), 1, (0,255,0), -1) - specgraph = cv2.circle(specgraph,(i,181-bluehieght), 1, (255,0,0), -1) - -for i in range (2,img.shape[1]-2): - if i in adgreen and i in adred: - adlinesfinal.append(i) - if i in adgreen and i in adblue: - adlinesfinal.append(i) - if i in adblue and i in adred: - adlinesfinal.append(i) - if (img[0,i,2]+img[0,i,1])<10 and i in adblue: - adlinesfinal.append(i) - if (img[0,i,0]+img[0,i,1])<10 and i in adred: - adlinesfinal.append(i) - if (img[0,i,2]+img[0,i,0])<10 and i in adgreen: - adlinesfinal.append(i) -H=0 -Fe=0 -Mn=0 -He=0 -Heion=0 -CN=0 -Na=0 -TiO=0 -CaH=0 -for i in range(len(adlinesfinal)): - wavelenght=((end-start)*adlinesfinal[i])/int(img1.shape[1]) - wavelenght+=start - print wavelenght,' ',adlinesfinal[i] - wavelength.append(wavelenght) - -for i in range(len(wavelength)): - if wavelength[i]<=661 and wavelength[i]>=649: #656 - H+=1 - print(H) - if wavelength[i]<=409 and wavelength[i]>=400: #404.5 - Fe+=1 - Mn+=1 - if wavelength[i]<=425 and wavelength[i]>=415: - He+=1 - if wavelength[i]<=445 and wavelength[i]>=435: - Heion+=1 - if wavelength[i]<=430 and wavelength[i]>=420: - CN+=1 - if wavelength[i]<=594 and wavelength[i]>=584: - Na+=1 - if wavelength[i]<=634 and wavelength[i]>=624: - TiO+=1 - if wavelength[i]<=639 and wavelength[i]>=632: - CaH+=1 -if H>=2: - print"Hydogen present" -if He>=2: - print"Helium present" -if Fe>=2: - print "Iron present" -if Mn>=2: - print "Mn present" -if Heion>=2: - print"Helium ion present" -if CN>=2: - print "CN radical present" - -if TiO>=2: - print "TiO present" -if CaH>=2: - print "CaH present" - -cv2.imshow("graph",specgraph) -cv2.imshow("img",img) -cv2.waitKey(0) -cv2.destroyAllWindows() diff --git a/Get-rotation.py b/Get-rotation.py deleted file mode 100644 index ec4ce2d..0000000 --- a/Get-rotation.py +++ /dev/null @@ -1,88 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt -import math -cap = cv2.VideoCapture('latest_1024_0304.mp4') - -# take first frame of the video -ret,frame = cap.read() -frame = cv2.flip(frame, 0) -img=cv2.imread('latest_512_0304.jpg',0) -#current = cv2.imread('Cstar.png') -blur = cv2.GaussianBlur(img,(35,35),0) -previousimg = cv2.imread('latest_512_0304.jpg') -img1 = cv2.imread('latest_512_0304.jpg',1) -ret,thresh = cv2.threshold(blur,20,255,0) -thresh1 =cv2.bitwise_not(thresh) -contours,hierarchy = cv2.findContours(thresh1, 1, 2) -x=3.9 -cnt = contours[0] -leftmost = tuple(cnt[cnt[:,:,0].argmin()][0]) -rightmost = tuple(cnt[cnt[:,:,0].argmax()][0]) -topmost = tuple(cnt[cnt[:,:,1].argmin()][0]) -bottommost = tuple(cnt[cnt[:,:,1].argmax()][0]) -leftmost=(int(leftmost[0]*(x+0.1)),int(leftmost[1]*x)) -rightmost=(int(rightmost[0]*(x+0.1)),int(rightmost[1]*x)) -bottommost=(int(bottommost[0]*(x+0.1)),int(bottommost[1]*x)) -topmost=(int(topmost[0]*(x+0.1)),int(topmost[1]*x)) - - - -print leftmost,' ',rightmost,' ',topmost,' ',bottommost -img1 = cv2.circle(img1,leftmost, 12, (0,255,255), -1) -img1 = cv2.circle(img1,rightmost, 12, (0,255,255), -1) -img1 = cv2.circle(img1,topmost, 12, (0,255,255), -1) -img1 = cv2.circle(img1,bottommost, 12, (0,255,255), -1) - - -# setup initial location of window -r,h,c,w = 400,100,300,100 # simply hardcoded the values -track_window = (c,r,w,h) - -# set up the ROI for tracking -roi = frame[r:r+h, c:c+w] -hsv_roi = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) -mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.))) -roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180]) -cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX) -cv2.namedWindow('image', cv2.WINDOW_NORMAL) -# Setup the termination criteria, either 10 iteration or move by atleast 1 pt -term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 ) -i=1 -s=0 -while(1): - ret ,frame = cap.read() - frame = cv2.flip(frame, 0) - - if ret == True: - hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) - dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1) - - # apply meanshift to get the new location - ret, track_window = cv2.meanShift(dst, track_window, term_crit) - - # Draw it on image - x,y,w,h = track_window - if s==0: - x1,y1=x,y - s+=1 - img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2) - img2 = cv2.circle(img2,leftmost, 12, (0,255,255), -1) - img2 = cv2.circle(img2,rightmost, 12, (0,255,255), -1) - img2 = cv2.circle(img2,topmost, 12, (0,255,255), -1) - img2 = cv2.circle(img2,bottommost, 12, (0,255,255), -1) - cv2.imshow('image',img2) - k = cv2.waitKey(4) & 0xff - if k == 27: - break - else: - break -x2,y2=x,y -distance=math.sqrt((x1-x2)**2) -distance1=math.sqrt((leftmost[0]-rightmost[0])**2) -time=(48*distance1*3.14)/distance -print time -cv2.imshow("images",img2) -cv2.imshow("image06",img1) -cv2.waitKey(0) -cv2.destroyAllWindows() diff --git a/Get-weightandtemp.py b/Get-weightandtemp.py deleted file mode 100644 index 2e35a58..0000000 --- a/Get-weightandtemp.py +++ /dev/null @@ -1,96 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt - - -star=cv2.imread("M.png") -Gstar=cv2.imread("Gstar.png") -Astar=cv2.imread("Astar.png") -Kstar=cv2.imread("Kstar.png") -Ostar=cv2.imread("Ostar.png") -Fstar=cv2.imread("Fstar.png") -Mstar=cv2.imread("M.png") -Bstar=cv2.imread("Bstar.png") -tempG1=Gstar[20:140:,20:300,:] -tempG2=Gstar[20:140:,500:600,:] -tempA1=Astar[20:140,20:300,:] -tempA2=Astar[20:140:,500:600,:] -tempF1=Fstar[20:140:,20:300,:] -tempF2=Fstar[20:140:,500:600,:] -tempO1=Ostar[20:140:,20:300,:] -tempO2=Ostar[20:140:,500:600,:] -tempM1=Mstar[20:140:,20:300,:] -tempM2=Mstar[20:140:,500:600,:] -tempB1=Bstar[20:140,20:300,:] -tempB2=Bstar[20:140:,500:600,:] -tempK1=Kstar[20:140:,20:300,:] -tempK2=Kstar[20:140:,500:600,:] -method = 'cv2.TM_CCOEFF_NORMED' -method = eval(method) - -# Apply template Matching -resG1 = cv2.matchTemplate(star,tempG1,method) -min_val, max_valG1, min_loc, max_loc = cv2.minMaxLoc(resG1) -resG2 = cv2.matchTemplate(star,tempG2,method) -min_val, max_valG2, min_loc, max_loc = cv2.minMaxLoc(resG2) -resA1 = cv2.matchTemplate(star,tempA1,method) -min_val, max_valA1, min_loc, max_loc = cv2.minMaxLoc(resA1) -resA2 = cv2.matchTemplate(star,tempA2,method) -min_val, max_valA2, min_loc, max_loc = cv2.minMaxLoc(resA2) -resM1 = cv2.matchTemplate(star,tempM1,method) -min_val, max_valM1, min_loc, max_loc = cv2.minMaxLoc(resM1) -resM2 = cv2.matchTemplate(star,tempM2,method) -min_val, max_valM2, min_loc, max_loc = cv2.minMaxLoc(resM2) -resF1 = cv2.matchTemplate(star,tempF1,method) -min_val, max_valF1, min_loc, max_loc = cv2.minMaxLoc(resF1) -resF2 = cv2.matchTemplate(star,tempF2,method) -min_val, max_valF2, min_loc, max_loc = cv2.minMaxLoc(resF2) -resO1 = cv2.matchTemplate(star,tempO1,method) -min_val, max_valO1, min_loc, max_loc = cv2.minMaxLoc(resO1) -resO2 = cv2.matchTemplate(star,tempO2,method) -min_val, max_valO2, min_loc, max_loc = cv2.minMaxLoc(resO2) -resB1 = cv2.matchTemplate(star,tempB1,method) -min_val, max_valB1, min_loc, max_loc = cv2.minMaxLoc(resB1) -resB2 = cv2.matchTemplate(star,tempB2,method) -min_val, max_valB2, min_loc, max_loc = cv2.minMaxLoc(resB2) -resK1 = cv2.matchTemplate(star,tempK1,method) -min_val, max_valK1, min_loc, max_loc = cv2.minMaxLoc(resK1) -resK2 = cv2.matchTemplate(star,tempK2,method) -min_val, max_valK2, min_loc, max_loc = cv2.minMaxLoc(resK2) - - -top_left = max_loc -#bottom_right = (top_left[0] + w, top_left[1] + hA1) - -if max_valG1 + max_valG2 >=1.999: - print "G" - print "1.4 to 2.1 times the mass of the Sun surface temperatures between 7600 and 10,000 K" - - - -if max_valA1 + max_valA2 >=1.999: - print "A1" - print "" - -if max_valM1 + max_valM2 >=1.999: - print "M1" - print " 2,400–3,700 K 0.08–0.45 sun mass"" - - -if max_valF1 + max_valF2 >=1.999: - print "F1" - print " 6,000–7,500 K 1.04–1.4 sun mass" - - -if max_valO1 + max_valO2 >=1.999: - print "O1" - print "temperatures in excess of 30,000 kelvin O-type stars range from 10,000 times the Sun to around 1,000,000 times, giants from 100,000 times the Sun to over 1,000,000, and supergiants from about 200,000 times the Sun to several million times" - - -if max_valB1 + max_valB2 >=1.999: - print "B1" - print " to 16 times the mass of the Sun surface temperatures between 10,000 and 30,000 K" - -if max_valK1 + max_valK2 >=1.999: - print "K1" - print "3,700–5,200 K 0.45–0.8 sun mass" diff --git a/Getaddsorptionline.py b/Getaddsorptionline.py deleted file mode 100644 index 0708731..0000000 --- a/Getaddsorptionline.py +++ /dev/null @@ -1,68 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt - -img1 = cv2.imread('Gstar.png') -img=cv2.medianBlur(img1,7) -#cv2.namedWindow('img', cv2.WINDOW_NORMAL) -#cv2.namedWindow('graph', cv2.WINDOW_NORMAL) -specgraph = np.zeros(img.shape, np.uint8) -adred=[] -adblue=[] -adgreen=[] -for i in range (3,img.shape[1]-3): - redval=img[0,i,2] - redhieght=(redval*181)/255 - greenval=img[0,i,1] - greenhieght=(greenval*181)/255 - blueval=img[0,i,0] - bluehieght=(blueval*181)/255 - redprevdif=int(img[0,i,2])-int(img[0,i-3,2]) - redaheadvdif=int(img[0,i,2])-int(img[0,i+3,2]) - greenprevdif=int(img[0,i,1])-int(img[0,i-3,1]) - greenaheadvdif=int(img[0,i,1])-int(img[0,i+3,1]) - blprevdif=int(img[0,i,0])-int(img[0,i-3,0]) - blaheadvdif=int(img[0,i,0])-int(img[0,i+3,0]) - - y=0 - if redprevdif < y and redaheadvdif < y: - adred.append(i) - #adred.append(i+1) - #adred.append(i+2) - #adred.append(i-1) - #adred.append(i-2) - - if greenprevdif < y and greenaheadvdif < y: - adgreen.append(i) - #adgreen.append(i+1) - #adgreen.append(i+2) - #adgreen.append(i-1) - #adgreen.append(i-2) - - - if blprevdif < y and blaheadvdif < y: - adblue.append(i) - #adblue.append(i+1) - #adblue.append(i+2) - #adblue.append(i-1) - #adblue.append(i-2) - - specgraph = cv2.circle(specgraph,(i,181-redhieght), 1, (0,0,255), -1) - specgraph = cv2.circle(specgraph,(i,181-greenhieght), 1, (0,255,0), -1) - specgraph = cv2.circle(specgraph,(i,181-bluehieght), 1, (255,0,0), -1) -print adred -print adgreen -for i in range (2,img.shape[1]-2): - if i in adgreen and i in adred: - specgraph = cv2.line(specgraph,(i,0),(i,181),(0,255,255),1) - if i in adgreen and i in adblue: - specgraph = cv2.line(specgraph,(i,0),(i,181),(0,255,255),1) - if i in adblue and i in adred: - specgraph = cv2.line(specgraph,(i,0),(i,181),(0,255,255),1) - if (img[0,i,2]+img[0,i,1])<10 and i in adblue: - specgraph = cv2.line(specgraph,(i,0),(i,181),(0,255,255),1) - -cv2.imshow("graph",specgraph) -cv2.imshow("img",img) -cv2.waitKey(0) -cv2.destroyAllWindows() diff --git a/Getspectrumdata.py b/Getspectrumdata.py deleted file mode 100644 index d9711b6..0000000 --- a/Getspectrumdata.py +++ /dev/null @@ -1,23 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt -def spectrum(filename): - print("reached") - print(filename) - img = cv2.imread(filename) - specgraph = np.zeros(img.shape, np.uint8) - print(img.shape[1]) - print() - for i in range (img.shape[1]): - print(i) - redval=img[int(img.shape[0]/2)][i][2] - redhieght=(redval*181)/255 - greenval=img[int(img.shape[0]/2)][i][1] - greenhieght=(greenval*181)/255 - blueval=img[int(img.shape[0]/2)][i][0] - bluehieght=(blueval*181)/255 - specgraph = cv2.circle(specgraph,(i,int(181-redhieght)), 1, (0,0,255), -1) - specgraph = cv2.circle(specgraph,(i,int(181-greenhieght)), 1, (0,255,0), -1) - specgraph = cv2.circle(specgraph,(i,int(181-bluehieght)), 1, (255,0,0), -1) - print("reached") - return specgraph diff --git a/get-speed.py b/get-speed.py deleted file mode 100644 index db78c10..0000000 --- a/get-speed.py +++ /dev/null @@ -1,139 +0,0 @@ -import cv2 -import numpy as np -from matplotlib import pyplot as plt - -img1 = cv2.imread('Astar.png') -img=cv2.medianBlur(img1,7) -hsv = cv2.cvtColor(img1, cv2.COLOR_BGR2HSV) -print hsv.shape -#cv2.namedWindow('img', cv2.WINDOW_NORMAL) -#cv2.namedWindow('graph', cv2.WINDOW_NORMAL) -print "starting frequency" -start=input() -print "Final frequency" -end=input() -adlinesfinal=[] -specgraph = np.zeros(img.shape, np.uint8) -adred=[] -adblue=[] -adgreen=[] -wavelength=[] -for i in range (3,img.shape[1]-3): - redval=img[0,i,2] - redhieght=(redval*181)/255 - greenval=img[0,i,1] - greenhieght=(greenval*181)/255 - blueval=img[0,i,0] - bluehieght=(blueval*181)/255 - redprevdif=int(img[0,i,2])-int(img[0,i-3,2]) - redaheadvdif=int(img[0,i,2])-int(img[0,i+3,2]) - greenprevdif=int(img[0,i,1])-int(img[0,i-3,1]) - greenaheadvdif=int(img[0,i,1])-int(img[0,i+3,1]) - blprevdif=int(img[0,i,0])-int(img[0,i-3,0]) - blaheadvdif=int(img[0,i,0])-int(img[0,i+3,0]) - - y=0 - if redprevdif < y and redaheadvdif < y: - adred.append(i) - #adred.append(i+1) - #adred.append(i+2) - #adred.append(i-1) - #adred.append(i-2) - - if greenprevdif < y and greenaheadvdif < y: - adgreen.append(i) - #adgreen.append(i+1) - #adgreen.append(i+2) - #adgreen.append(i-1) - #adgreen.append(i-2) - - - if blprevdif < y and blaheadvdif < y: - adblue.append(i) - #adblue.append(i+1) - #adblue.append(i+2) - #adblue.append(i-1) - #adblue.append(i-2) - - specgraph = cv2.circle(specgraph,(i,181-redhieght), 1, (0,0,255), -1) - specgraph = cv2.circle(specgraph,(i,181-greenhieght), 1, (0,255,0), -1) - specgraph = cv2.circle(specgraph,(i,181-bluehieght), 1, (255,0,0), -1) - -for i in range (2,img.shape[1]-2): - if i in adgreen and i in adred: - adlinesfinal.append(i) - if i in adgreen and i in adblue: - adlinesfinal.append(i) - if i in adblue and i in adred: - adlinesfinal.append(i) - if (img[0,i,2]+img[0,i,1])<10 and i in adblue: - adlinesfinal.append(i) - if (img[0,i,0]+img[0,i,1])<10 and i in adred: - adlinesfinal.append(i) - if (img[0,i,2]+img[0,i,0])<10 and i in adgreen: - adlinesfinal.append(i) -H=[] -Fe=[] -Mn=[] -He=[] -Heion=[] -CN=[] -Na=[] -TiO=[] -CaH=[] -dopplershift=0 -for i in range(len(adlinesfinal)): - wavelenght=((end-start)*adlinesfinal[i])/int(img1.shape[1]) - wavelenght+=start - wavelength.append(wavelenght) -for i in range(len(wavelength)): - if wavelength[i]<=660 and wavelength[i]>=652: #656 - H.append(wavelength[i]) - if wavelength[i]<=408 and wavelength[i]>=400: #404.5 - Fe.append(wavelength[i]) - Mn.append(wavelength[i]) - if wavelength[i]<=425 and wavelength[i]>=417: - He.append(wavelength[i]) - if wavelength[i]<=444 and wavelength[i]>=434: - Heion.append(wavelength[i]) - if wavelength[i]<=429 and wavelength[i]>=421: - CN.append(wavelength[i]) - if wavelength[i]<=593 and wavelength[i]>=585: - Na.append(wavelength[i]) - if wavelength[i]<=635 and wavelength[i]>=629: - TiO.append(wavelength[i]) - if wavelength[i]<=639 and wavelength[i]>=633: - CaH.append(wavelength[i]) -val=max(len(CaH),len(H),len(Fe),len(Heion),len(CN),len(Na),len(TiO)) -if val==len(TiO): - avg=sum(TiO)/len(TiO) - dopplershift=(avg-632)/632 -if val==len(H): - avg=sum(H)/len(H) - dopplershift=(avg-656.3)/656.3 -if val==len(He): - avg=sum(He)/len(He) - dopplershift=(avg-421)/421 -if val==len(Fe): - avg=sum(Fe)/len(Fe) - dopplershift=(avg-404.5)/404.5 -if val==len(Heion): - avg=sum(Heion)/len(Heion) - dopplershift=(avg-440)/440 -if val==len(Na): - avg=sum(Na)/len(Na) - dopplershift=(avg-588.9)/588.9 -if val==len(CaH): - avg=sum(CaH)/len(CaH) - dopplershift=(avg-634)/634 -if val==len(CN): - avg=sum(CN)/len(CN) - dopplershift=(avg-420)/420 -print dopplershift -c=300000000 -vs=c*dopplershift -print vs -cv2.imshow("graph",specgraph) -cv2.imshow("img",img) -cv2.waitKey(0) -cv2.destroyAllWindows() From c577160082f7532f132be86fd590425d727ddcdc Mon Sep 17 00:00:00 2001 From: unknown Date: Tue, 8 Dec 2020 09:54:44 +0530 Subject: [PATCH 2/3] remove .gitignore file --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 40bca31..ca7ce3a 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,2 @@ -/env \ No newline at end of file +/env +/.gitignore From f5ca3b73f151b7ae1a5d122bda40a27f702471b3 Mon Sep 17 00:00:00 2001 From: Aman Thakur <54764701+jhonsnow456@users.noreply.github.com> Date: Sun, 13 Dec 2020 21:30:25 +0530 Subject: [PATCH 3/3] Delete .gitignore --- .gitignore | 2 -- 1 file changed, 2 deletions(-) delete mode 100644 .gitignore diff --git a/.gitignore b/.gitignore deleted file mode 100644 index ca7ce3a..0000000 --- a/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -/env -/.gitignore