Voici mes commandes pour le ménage dans les photos:
1- Suppression des doublons :
# du -sh Photos/
85G Photos/
# fdupes -r -d -f Photos/2- Classement par date :
# sortphotos -r . . --sort %Y/%m/%d3- Compression :
# find Photos/ -iname '*.jpg' -exec mogrify \{} -verbose -resize 1920x1080\> \{} \;4- Resynchornisation avec Digikam (le seul bon outils pour les photos sous Ubuntu).
Voici la commande que j’utilise pour la recherche de virus sous Ubuntu :
# clamscan -avr | tee clamscan.log
...
----------- SCAN SUMMARY -----------
Known viruses: 8689881
Engine version: 0.102.4
Scanned directories: 89434
Scanned files: 694669
Infected files: 7
Total errors: 4
Data scanned: 301849.41 MB
Data read: 449682.82 MB (ratio 0.67:1)
Time: 28236.392 sec (470 m 36 s)Ensuite je fais :
$ grep FOUND clamscan.log
...OpenOffice 4.1.5 (fr) Installation Files/setup.exe: Win.Virus.Expiro-9820425-0 FOUND
...OpenOffice 4.1.5 (fr) Installation Files/setup.exe!(0): Win.Virus.Expiro-9820425-0 FOUNDAvant la migration j’avais ceci comme kernel:
Linux CYBERNEURONES 5.4.0-64-generic #72~18.04.1-Ubuntu SMP Fri Jan 15 14:06:34 UTC 2021 x86_64 x86_64 x86_64 GNU/LinuxDébut de la migration vers 10h18:
$ head /var/log/dist-upgrade/main.log
2021-01-28 10:18:23,079 INFO Using config files '['./DistUpgrade.cfg.bionic', '/etc/update-manager/release-upgrades.d/opera-stable.cfg']'
2021-01-28 10:18:23,079 INFO uname information: 'Linux CYBERNEURONES 5.4.0-64-generic #72~18.04.1-Ubuntu SMP Fri Jan 15 14:06:34 UTC 2021 x86_64'
2021-01-28 10:18:23,604 INFO apt version: '1.6.12ubuntu0.2'
2021-01-28 10:18:23,604 INFO python version: '3.6.9 (default, Oct 8 2020, 12:12:24)
[GCC 8.4.0]'
2021-01-28 10:18:23,609 INFO release-upgrader version '20.04.29' started
2021-01-28 10:18:23,670 INFO locale: 'fr_FR' 'UTF-8'
2021-01-28 10:18:23,857 DEBUG Using 'DistUpgradeViewGtk3' view
2021-01-28 10:18:23,900 DEBUG enable dpkg --force-overwrite
2021-01-28 10:18:23,915 DEBUG creating statefile: '/var/log/dist-upgrade/apt-clone_system_state.tar.gz'Fin de l’installation vers 13h18:
J’avais donc des crash de update-manage, j’ai donc utilisé plusieurs méthodes vu sur Google.
Voici le crash que j’avais :
$ update-manager
Traceback (most recent call last):
File "/usr/bin/update-manager", line 28, in
import gi
File "/usr/lib/python3/dist-packages/gi/__init__.py", line 42, in
from . import _gi
ImportError: cannot import name '_gi' from partially initialized module 'gi' (most likely due to a circular import) (/usr/lib/python3/dist-packages/gi/__init__.py)
$ cd /usr/lib/python3/dist-packages/gi/
/usr/lib/python3/dist-packages/gi$ ls *.so
_gi_cairo.cpython-36m-x86_64-linux-gnu.so
_gi.cpython-36m-x86_64-linux-gnu.so
_gi.cpython-37m-x86_64-linux-gnu.so$ sudo apt-get install --reinstall dbus python-dbus python3-dbus=> Echec.
Suite à l’update en version Ubuntu 20.04 j’ai essayé de faire une nouvelle tentative ! Ma précédente tentative (11/03/2020 ) : https://www.cyber-neurones.org/2020/03/script-de-creation-automatiquement-dune-machine-virtuelle-de-macos-pour-virtualbox-echec-pour-moi/
Mes versions :
$ vboxmanage --version
6.1.16_Ubuntur140961
$ cat /etc/os-release
NAME="Ubuntu"
VERSION="20.04.1 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.1 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focalIl faut mettre le pack extension pour que cela fonctionne : [https://download.virtualbox.org/virtualbox/6.1.16/ .](https://download.virtualbox.org/virtualbox/6.1.16/ .)
Lancement du script :
$ ./macos-guest-virtualbox.sh
Waiting for the VirtualBox GUI to shut off.
Please wait
Catalina_BaseSystem.vdi successfully detached from
the virtual machine and released from VirtualBox Manager.
stage: create_target_virtual_disk
Creating target system virtual disk image for "macOS"
0%...10%...20%...30%...40%...50%...60%...70%...80%...90%...100%
Medium created. UUID: 10868994-4a31-4af9-bc2d-0130f283870d
stage: populate_macos_target_disk
Creating VirtualBox 6 virtual ISO containing macOS Terminal scripts
for partitioning and populating the target virtual disk.
The VM will boot from the populated installer base system virtual disk.
Attempting automated recognition of virtual machine graphical user interface.
Please wait
The second open Terminal in the virtual machine copies EFI and NVRAM files
to the target EFI system partition when the installer finishes preparing.
After the installer finishes preparing and the EFI and NVRAM files are copied,
macOS will install and boot up when booting the target disk.
Please wait
For further information, such as applying EFI and NVRAM variables to enable
iMessage connectivity, see the documentation with the following command:
./macos-guest-virtualbox.sh documentation | less -R
That's it! Enjoy your virtual machine.
stage: prompt_delete_temporary_files
Temporary files may be deleted when the virtual machine is powered off
and without a suspended state by executing the following command at the script's
working directory:
./macos-guest-virtualbox.sh prompt_delete_temporary_files
Push-button installer of macOS on VirtualBox
This script installs only open-source software and unmodified Apple binaries,
and requires about 50GB of available storage, of which 25GB are for temporary
installation files that may be deleted when the script is finished.
The script interacts with the virtual machine twice, please do not interact
with the virtual machine manually before the script is finished.
Documentation about optional configuration, iCloud and iMessage connectivity,
resuming the script by stages, and other topics can be viewed with the
following command:
./macos-guest-virtualbox.sh documentation | less -R
Press enter to review the script configuration
vm_name="macOS"
macOS_release_name="Catalina" # install "HighSierra" "Mojave" "Catalina"
storage_size=80000 # VM disk image size in MB. minimum 22000
storage_format="vdi" # VM disk image file format, "vdi" or "vmdk"
cpu_count=2 # VM CPU cores, minimum 2
memory_size=4096 # VM RAM in MB, minimum 2048
gpu_vram=128 # VM video RAM in MB, minimum 34, maximum 128
resolution="1280x800" # VM display resolution
These values may be customized as described in the documentation.
Press enter to continue, CTRL-C to exit
Catalina selected to be downloaded and installed
stage: prompt_delete_existing_vm
stage: create_vm
stage: check_default_virtual_machine
Checking that VirtualBox starts the virtual machine without errors.
Checking that VirtualBox uses hardware-supported virtualization.
stage: prepare_macos_installation_files
Downloading Apple macOS Catalina software update catalog
Catalina_sucatalog 100%[===============================================================================>] 6,52M 1,82MB/s in 3,6s
Trying to find macOS Catalina InstallAssistant download URL
Catalina_sucatalog_00_InstallAssistantAu 100%[===============================================================================>] 40,05K --.-KB/s in 0,03s
Found download URL: http://swcdn.apple.com/content/downloads/26/37/001-68446/r1dbqtmf3mtpikjnd04cq31p4jk91dceh8/
Downloading macOS installation files from swcdn.apple.com
Catalina_BaseSystem.chunklist 100%[===============================================================================>] 1,97K --.-KB/s in 0s
Catalina_InstallInfo.plist 100%[===============================================================================>] 1,55K --.-KB/s in 0s
Catalina_AppleDiagnostics.dmg 100%[===============================================================================>] 3,00M 1,64MB/s in 1,8s
Catalina_AppleDiagnostics.chunklist 100%[===============================================================================>] 328 --.-KB/s in 0s
Catalina_BaseSystem.dmg 100%[===============================================================================>] 475,53M 1,09MB/s in 5m 47s
Catalina_InstallESDDmg.pkg 100%[===============================================================================>] 7,21G 1,84MB/s in 78m 9s
Splitting the several-GB InstallESDDmg.pkg into 1GB parts because
VirtualBox hasn't implemented UDF/HFS VISO support yet and macOS
doesn't support ISO 9660 Level 3 with files larger than 2GB.
creating file 'Catalina_InstallESD.part00'
creating file 'Catalina_InstallESD.part01'
creating file 'Catalina_InstallESD.part02'
creating file 'Catalina_InstallESD.part03'
creating file 'Catalina_InstallESD.part04'
creating file 'Catalina_InstallESD.part05'
creating file 'Catalina_InstallESD.part06'
creating file 'Catalina_InstallESD.part07'
Downloading open-source APFS EFI drivers used for VirtualBox 6.0 and 5.2
...even though VirtualBox version 6.1 or higher is detected.
AppleSupport-v2.0.4-RELEASE.zip 100%[===============================================================================>] 42,20K --.-KB/s in 0,1s
Archive: AppleSupport-v2.0.4-RELEASE.zip
inflating: ApfsDriverLoader.efi
inflating: AppleImageLoader.efi
inflating: AppleUiSupport.efi
stage: create_nvram_files
stage: create_macos_installation_files_viso
Creating EFI startup script
Creating VirtualBox 6 virtual ISO containing the
installation files from swcdn.apple.com
stage: configure_vm
stage: populate_basesystem_virtual_disk
Converting BaseSystem.dmg to BaseSystem.img
dmg2img v1.6.7 (c) vu1tur (to@vu1tur.eu.org)
Catalina_BaseSystem.dmg --> Catalina_BaseSystem.img
decompressing:
opening partition 0 ... 100.00% ok
opening partition 1 ... 100.00% ok
opening partition 2 ... 100.00% ok
opening partition 3 ... 100.00% ok
opening partition 4 ... 100.00% ok
opening partition 5 ... 100.00% ok
opening partition 6 ... 100.00% ok
opening partition 7 ... 100.00% ok
Archive successfully decompressed as Catalina_BaseSystem.img
Converting from raw image file="Catalina_BaseSystem.img" to file="Catalina_BaseSystem.vdi"...
Creating dynamic image with size 2138558464 bytes (2040MB)...
stage: create_bootable_installer_virtual_disk
Creating Catalina installation media virtual disk image.
0%...10%...20%...30%...40%...50%...60%...70%...80%...90%...100%
Medium created. UUID: 73d5bc4e-a63c-4ad0-b10e-897beb33428e
stage: populate_bootable_installer_virtual_disk
Creating VirtualBox 6 virtual ISO containing macOS Terminal script
for partitioning and populating the bootable installer virtual disk.
Starting virtual machine "macOS".
This should take a couple of minutes. If booting fails, exit the script by
pressing CTRL-C then see the documentation for information about applying
different CPU profiles in the section CPU profiles and CPUID settings.
Until the script completes, please do not manually interact with
the virtual machine.
Please press enter as directed.
Press enter when the Language window is ready.Ensuite :
J’ai suivi le tutorial : https://www.flawlessrhetoric.com/Using-libpst-to-convert-PST-to-MBOX,-and-understanding-Thunderbird%27s-folder-structure
J’ai donc fait :
$ readpst -u backup.pst
$ mv Outlook\ Data\ File/ out
$ find out -type d | tac | grep -v '^out$' | xargs -d '\n' -I{} mv {} {}.sbd
$ find out -name mbox -type f | xargs -d '\n' -I{} echo '"{}" "{}"' | sed -e 's/\.sbd\/mbox"$/"/' | xargs -L 1 mv
$ find out -empty -type d | xargs -d '\n' rmdir
rmdir: missing operand
Try 'rmdir --help' for more information.
$ find out -type d | egrep '*.sbd' | sed 's/.\{4\}$//' | xargs -d '\n' touch
$ du -sh *
4,1G backup.pst
3,3G outje ne suis pas sur et certain d’avoir tout mes emails …vu que j’utilise snap le chemin est : /home/login/snap/thunderbird/common/.thunderbird/ID.default/Mail/Local Folders/
J’ai essayé l’installation de iTunes avec Wine sous Ubuntu.
Les versions :
J’ai eu une seule erreur, c’est lors de l’installation des fonts. Pour la fixer j’ai du faire la modification du checkum. L’erreur c’était : sha256sum mismatch! Rename .cache/winetricks/PowerPointViewer/PowerPointViewer.exe and try again.
sudo sed -i -e s/249473568eba7a1e4f95498acba594e0f42e6581add4dead70c1dfb908a09423/e17cb384eeac4caf08a4f5d4bceb9697fff83fa942d2a3d9ad0294a9b1774390/g /usr/bin/winetricksL’installation des fonts :
sudo apt install winetricks
winetricks allfontsSachant que l’installation suivante permet d’eviter des problèmes de checksum :
J’ai enfin mon process complet, pour compter les cyclistes et flouter les visages dans la vidéo :
Etape 1 : Faire la vidéo avec la GoPRO.
Metadata:
major_brand : mp42
minor_version : 0
compatible_brands: mp42isomavc1
creation_time : 2020-10-04T13:52:54.000000Z
encoder : HandBrake 0.9.8 2012071800
Duration: 00:01:51.44, start: 0.000000, bitrate: 6813 kb/s
Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 1280x720 [SAR 1:1 DAR 16:9], 6810 kb/s, 23.98 fps, 23.98 tbr, 90k tbn, 180k tbc (default)
Metadata:
creation_time : 2020-10-04T13:52:54.000000Z
encoder : JVT/AVC CodingEtape 2 : Passer Jupyter Notebook, Python3, Tensorflow, OpenCV.
J’ai téléchargé https://github.com/hay/facetool afin de faire la modification des visages via une commande du type :
./facetool.py swap -i smiley.jpg -t output-bicyle.mp4 -o swap-bicyle.mp4
D’abord j’ai eu un premier problème que j’ai fixé ainsi : cd /usr/lib/python3/dist-packages sudo cp apt_pkg.cpython-36m-x86_64-linux-gnu.so apt_pkg.so
Et maintenant j’ai un bug dans le programme :
No faces found, could not swap (Faceswapping smiley.jpg on head-tmp-jdrmcn3j/2357.jpg, saving to out-tmp-jdrmcn3j/2357.jpg)
100%|███████████████████████████████████████████████████████████████████▉| 2671/2672 [25:15<00:00, 2.30it/s]
No faces found, could not swap (Faceswapping smiley.jpg on head-tmp-jdrmcn3j/1180.jpg, saving to out-tmp-jdrmcn3j/1180.jpg)
Traceback (most recent call last):
File "./facetool.py", line 591, in <module>
main(args)
File "./facetool.py", line 565, in main
swapper.swap_image_to_video(args.target, args.input, args.output)
File "./github/facetool/facetool/swapper.py", line 206, in swap_image_to_video
combineframes(self.tempdirs.out, out)
File "./github/facetool/facetool/media.py", line 49, in combineframes
first_file = list(glob(f"{inp}/*"))[0]
IndexError: list index out of rangeBref j’ai l’impression que cela ne détecte aucun visage :
J’ai donc pris “Yolo V3”, c’est le modèle le plus fiable. Et j’ai modifier les sources de tracking-yolo-model afin de compter seulement les cyclistes.
Je mets des ID (que j’ai remplacé par Num) seulement sur les cyclistes :
Le source est donc :
(H, W) = (None, None) # input image height and width for the network
writer = None
bicycle = 0
while(True):
ok, image = cap.read()
if not ok:
print("Cannot read the video feed.")
break
if W is None or H is None: (H, W) = image.shape[:2]
blob = cv.dnn.blobFromImage(image, 1 / 255.0, (416, 416), swapRB=True, crop=False)
net.setInput(blob)
detections_layer = net.forward(layer_names) # detect objects using object detection model
detections_bbox = [] # bounding box for detections
boxes, confidences, classIDs = [], [], []
for out in detections_layer:
for detection in out:
scores = detection[5:]
classID = np.argmax(scores)
confidence = scores[classID]
if confidence > yolomodel['confidence_threshold']:
box = detection[0:4] * np.array([W, H, W, H])
(centerX, centerY, width, height) = box.astype("int")
x = int(centerX - (width / 2))
y = int(centerY - (height / 2))
boxes.append([x, y, int(width), int(height)])
confidences.append(float(confidence))
classIDs.append(classID)
idxs = cv.dnn.NMSBoxes(boxes, confidences, yolomodel["confidence_threshold"], yolomodel["threshold"])
if len(idxs)>0:
for i in idxs.flatten():
(x, y) = (boxes[i][0], boxes[i][1])
(w, h) = (boxes[i][2], boxes[i][3])
if (labels[classIDs[i]] == 'bicycle'):
detections_bbox.append((x, y, x+w, y+h))
clr = [int(c) for c in bbox_colors[classIDs[i]]]
cv.rectangle(image, (x, y), (x+w, y+h), clr, 2)
cv.putText(image, "{}: {:.4f}".format(labels[classIDs[i]], confidences[i]),
(x, y-5), cv.FONT_HERSHEY_SIMPLEX, 0.5, clr, 2)
objects = tracker.update(detections_bbox) # update tracker based on the newly detected objects
for (objectID, centroid) in objects.items():
text = "Num {}".format(objectID)
if (int(format(objectID)) > bicycle):
bicycle = int(format(objectID))
text2 = "Total %d "%(bicycle+1)
cv.putText(image, text, (centroid[0] - 10, centroid[1] - 10), cv.FONT_HERSHEY_SIMPLEX,
0.5, (0, 255, 0), 2)
cv.circle(image, (centroid[0], centroid[1]), 4, (0, 255, 0), -1)
cv.putText(image, text2, (30, 30), cv.FONT_HERSHEY_SIMPLEX,
1, (0, 0, 255), 3)
cv.imshow("image", image)
if cv.waitKey(1) & 0xFF == ord('q'):
break
if writer is None:
fourcc = cv.VideoWriter_fourcc(*"MJPG")
writer = cv.VideoWriter("output-bicyle.avi", fourcc, 30, (W, H), True)
writer.write(image)
writer.release()
cap.release()
cv.destroyWindow("image")Cette fois je compte en double des cyclistes, je pense qu’avec plus d’images par seconde je n’aurai pas eu le problème. J’ai un total de 280 cyclistes.