Computer Vision Python Course
What will I learn?
Lɛn Ɔl di Impɔtant Tin Bɔt Kompyuta Vision wit wi Python kos we wi mek fɔ teknowlɔji pipul dɛn. Ɛnta insay data gɛda, aw tin fɔ bi gud, ɛn aw fɔ pik data set. Lɛn aw fɔ mek imej dɛn fayn lɛk fɔ chenj di sayz ɛn mek dɛn bɛtɛ. Luk dip insay dip lɔnin mɔdel dɛn, inklud YOLO ɛn Fasta R-CNN, ɛn mek yu skil bɛtɛ insay aw fɔ chenj di nɔmba dɛn we de mek di tin wok. Gɛt an-pan ɛkspiriɛns wit OpenCV fɔ si vidio dɛn as dɛn de go, ɛn fɔ si tin dɛn insay di vidio. Mek yu nolej go ɔp wit tin dɛn we fayn, we dɛn mek fɔ yu fɔ yuz am wantɛm wantɛm.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Lɛn Python gud fɔ kompyuta vision: Bil strong tin dɛn we de wok wit imej.
Mek tin dɛn we de si tin dɛn insay vidio wantɛm wantɛm: Mek di we aw yu de analayz vidio bɛtɛ.
Mek dip lɔnin mɔdel dɛn wok fayn: Chenj dɛn fɔ mek dɛn wok bɛtɛ.
Jɔj aw di mɔdel dɛn de wok: Yuz tin dɛn lɛk presishɔn ɛn rikɔl fayn.
Rayt dɔkyumɛnt fɔ yu wok fayn: Rayt ripɔt dɛn we klia, we dɛn ɔganayz fayn.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.