1Kenya faele ea hau ea VIDEO ka mokhoa o sireletsehileng ho JPEG.to
2Khetha MERGE e le mokhoa oa hau oa tlhahiso ea profeshenale
3Lokisa litlhophiso tsa boleng haeba ho hlokahala
4Khoasolla faele ea hau e fetotsoeng ea MERGE
Kopanya Livideo LBH
Sesebelisoa sa ho Kopanya Livideo ke eng?
+
Sesebelisoa sena sa mahala sa inthanete se kopanya lifaele tse ngata tsa video ho etsa video e le 'ngoe e se nang sekoli. Se loketse ho etsa lipokello kapa ho kopanya livideo tse arohaneng.
Ke liforomo life tsa video tseo nka li kopanyang?
+
Ho kopanngoa ha livideo tsa rona ho tšehetsa liforomo tsohle tse kholo ho kenyeletsoa MP4, MOV, MKV, WebM, AVI, WMV, le tse ling. U ka ba ua kopanya livideo tsa liforomo tse fapaneng hammoho.
Na nka kopanya livideo ka mekhoa e fapaneng?
+
E, o ka kopanya livideo ka mekhoa e fapaneng. Sesebelisoa sa rona se sebetsana le phetoho ka bohona 'me se ntša faele ea video e kopaneng.
Nka kopanya livideo tse kae ka nako e le 'ngoe?
+
Basebelisi ba mahala ba ka kopanya livideo tse fihlang ho tse 5 ka nako e le 'ngoe. Basebelisi ba Premium ba ka kopanya livideo tse sa lekanyetsoang ka nako e le 'ngoe.
Na ho kopanya video ho tla ama boleng ba eona?
+
Sesebelisoa sa rona se boloka boleng ba pele ba livideo tsa hau. Boleng ba tlhahiso bo tsamaellana le video ea boleng bo holimo ka ho fetisisa e kenang.
Na nka sebetsana le lifaele tse ngata ka nako e le 'ngoe?
+
E, o ka kenya le ho kopanya difaele tse ngata tsa video ka nako e le 'ngoe. Basebelisi ba mahala ba ka sebetsana le lihlopha tse fihlang ho tse 2 ka nako e le 'ngoe, ha basebelisi ba Premium ba se na meeli.
Na sesebelisoa sena se sebetsa ho disebediswa tsa mehala?
+
E, ho kopanngoa ha livideo tsa rona ho arabela ka botlalo 'me ho sebetsa ho li-smartphone le matlapa. U ka kopanya livideo ho iOS, Android, le sesebelisoa leha e le sefe ka sebatli sa sejoale-joale sa webo.
Ke li-browser life tse tšehetsoang?
+
Ho kopanngoa ha livideo tsa rona ho sebetsa le libatli tsohle tsa sejoale-joale ho kenyeletsoa Chrome, Firefox, Safari, Edge le Opera. Re khothaletsa ho boloka sebatli sa hau se ntlafalitsoe bakeng sa boiphihlelo bo botle ka ho fetisisa.
Na lifaele tsa ka li bolokiloe e le lekunutu?
+
E, livideo tsa hau ke tsa lekunutu ka botlalo. Lifaele tsohle tse kentsoeng li hlakoloa ka bohona ho li-server tsa rona kamora ho sebetsoa. Ha re boloke, re arolelane, kapa re shebelle litaba tsa hau tsa video.
Ho thoe'ng haeba download ea ka e sa qale?
+
Haeba ho jarolla ha hao ho sa qale ka bohona, tobetsa konopo ea ho jarolla hape. Netefatsa hore li-pop-up ha lia thibeloa ke sebatli sa hau 'me u hlahlobe foldara ea hau ea ho jarolla.
Na see se tla ama boleng?
+
Ho kopanngoa ha livideo tsa rona ho boloka boleng ba mantlha. Video e hlahisoang e boloka boleng ba lifaele tsa hau tsa ho kenya ntle le ho senyeha.
Na ke hloka ho theha ak'haonte?
+
Ha ho hlokahale ak'haonte bakeng sa ho kopanya livideo tsa motheo. U ka sebetsana le lifaele hang-hang ntle le ho ingolisa. Ho theha ak'haonte ea mahala ho u fa phihlello ea nalane ea hau ea ts'ebetso le likarolo tse ling.
[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.31 GiB memory in use. Process 3437463 has 1.20 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Process 3437453 has 322.00 MiB memory in use. Including non-PyTorch memory, this process has 9.53 GiB memory in use. Of the allocated memory 9.29 GiB is allocated by PyTorch, and 74.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]